What is dissertation consulting?
Dissertation consulting is the most efficient and useful way for a student to get help on his/her dissertation. Dissertation consulting provides help and guidance throughout the entire process of writing a dissertation. In short, dissertation consulting is equivalent to having a professor give one-on-one help to a student at all times.
Who should use dissertation consulting?
Anyone writing a dissertation and seeking his/her doctoral degree can benefit from dissertation consulting.
Statistics Solutions, Inc. is the country's leader in dissertation consulting. Contact Statistics Solutions today for a free 30-minute consultation.
What does dissertation consulting offer for doctoral student?
Dissertation consulting offers help, guidance, assistance and feedback on every single part of the dissertation. Dissertation consulting helps students from the very beginning of the dissertation as it helps students choose a topic for their dissertation. Once that topic is chosen, dissertation consulting helps students phrase that topic and research question in the proper manner. This is extremely important for two reasons. First, the topic needs to be phrased properly in order to be approved. Second, the phrasing of the topic will lead to proper research. This is true because depending on the topic and research question, different research, tests and analyses need to be performed.
Once the topic is phrased properly with the help of dissertation consulting, dissertation consulting can help the student with the rest of the dissertation proposal. All students must submit a proposal for their dissertations, and dissertation consulting can help students navigate the difficult aspects of this proposal. In short, many students spend a vast amount of time writing their proposal because it lays out the entire dissertation: what kind of research is to be done, how that research will be done, what kind of tests will be used, what kind of sample sizes are needed, etc. Each one of these examples can take a student a very large amount of time to consider. Dissertation consulting can expedite this time consuming process, however, as dissertation consulting offers the student the information they need to conduct the proper research. In other words, dissertation consulting offers expert advice in methodology and statistics. Additionally, dissertation consulting helps students as they explain how the research needs to be interpreted.
Is dissertation consulting cost effective?
There is no question that dissertation consulting is cost effective as dissertation consulting can save students much needed time and energy. Oftentimes students spend days, weeks and months doing things that can be done much quicker and much more efficiently. Students do not know this, however, because students are not experienced with all things relating to statistics, methodology, experimentation, analysis, formatting and data. Dissertations require statistics, and statistics is a very nuanced and precise field. Without the help of dissertation consulting, students are left to figure this out on their own, and this often leads to much time wasted (if the wrong assumption in a test is used, for example; or, if the sample size is not correct for a particular survey or test). This incorrect methodology leads to incorrect research and invalid results. Thus, a student must start over and this is a very daunting task. Dissertation consulting does not allow for that to happen, however, as dissertation consulting ensures that students are moving in the proper direction at all times. Given the cost of not using dissertation consulting and the time that can be saved if a student acquires dissertation consulting, there is no question that dissertation consulting is indeed cost effective.
Is dissertation consulting ethical?
Dissertation consulting is indeed ethical because dissertation consulting makes sure that the student truly understands the material, research, analyses, and every other aspect of the dissertation. Dissertation consulting simply guides the student, it does not do the work for the student. A proper comparison would be to compare dissertation consulting to getting a tutor. If a student is struggling, they can hire a tutor. This tutor will make sure that the student grasps all necessary concepts and is ready to perform successfully. This is the same for dissertation consulting as dissertation consultants ensure that students actually understand everything involved in the process of their dissertation. Dissertation consulting is a means of getting accurate and precise help—and in turn, it leads to students achieving much success in acquiring their doctoral degrees.
For a free 30-minute consultation on dissertation consulting, click here.
Monday, July 13, 2009
Thursday, July 9, 2009
What is a Dissertation Consultation Service?
What is a dissertation consultation service?
A dissertation consultation service is the best way for a student to get help with his or her dissertation because a dissertation consultation service provides feedback, support, mentorship and assistance on all things that are related to a dissertation.
Who needs a dissertation consultation service?
Any student that is working on his or her dissertation could benefit greatly from a dissertation consultation service. It does not matter what subject or field the student is working in; a dissertation consultation service can help any doctoral student, regardless of field or discipline.
Is it difficult or expensive to get the help of a dissertation consultation service?
It is neither difficult nor expensive to acquire the help of a dissertation consultation service. In fact, most students are happily surprised when they make the phone call to the dissertation consultation service and find out what the rates are for the dissertation consultation service. Statistics Solutions is the country's leader in dissertation consultation services and can assist with your dissertation statistics. Contact Statistics Solutions today for a free 30-minute consultation.
How do I get the help of a dissertation consultation service?
As mentioned above, it is very easy to get the help of a dissertation consultation service. In order to get the help of a dissertation consultation service, a student can either contact the firm on-line, or make a simple telephone call to get more information.
Who will help me if I use a dissertation consultation service?
If you use a dissertation consultation service, you will be helped by a professional who is trained to help students as they work on their dissertation. This professional will be scientifically minded, will know how the dissertation is supposed to be laid out, and will be a professional statistician. This last part, the fact that the person providing the dissertation consultation service will be trained in statistics, is especially important when it comes to dissertations. This is true because all dissertations contain statistics, and this is usually where most students either make mistakes or spend the most time. This is not necessary, however, as the help of a dissertation consultation service can make the statistical procedures that are necessary for your dissertation much easier to understand. Additionally a dissertation consultation service will instruct you when it comes to the statistical part of your dissertation. This will prove vital later in the process of your dissertation as you will have to orally defend your dissertation. If you do not have a working knowledge of all of the statistics that are a part of your dissertation, you will not pass the oral defense of your dissertation, and you will therefore not receive your doctoral degree—or at the very least, you will receive it later then you planned as you will be forced to delay the acquisition of your doctoral degree because you are not prepared for your oral defense.
Additionally, the trained professional who will be providing you with the dissertation consultation service should also be able to communicate well with the student. Because the student and the person providing the dissertation consultation service will be working closely for as long as the project or dissertation takes, it is very important that the person who is providing the dissertation consultation service be able to communicate respectfully, effectively and efficiently. The best way for a student to know if the person providing the dissertation consultation service is in fact able to communicate well is to make a phone call to the dissertation consulting firm and talk to the person who will be providing the student help.
A dissertation consultation service is the best way for a student to get help with his or her dissertation because a dissertation consultation service provides feedback, support, mentorship and assistance on all things that are related to a dissertation.
Who needs a dissertation consultation service?
Any student that is working on his or her dissertation could benefit greatly from a dissertation consultation service. It does not matter what subject or field the student is working in; a dissertation consultation service can help any doctoral student, regardless of field or discipline.
Is it difficult or expensive to get the help of a dissertation consultation service?
It is neither difficult nor expensive to acquire the help of a dissertation consultation service. In fact, most students are happily surprised when they make the phone call to the dissertation consultation service and find out what the rates are for the dissertation consultation service. Statistics Solutions is the country's leader in dissertation consultation services and can assist with your dissertation statistics. Contact Statistics Solutions today for a free 30-minute consultation.
How do I get the help of a dissertation consultation service?
As mentioned above, it is very easy to get the help of a dissertation consultation service. In order to get the help of a dissertation consultation service, a student can either contact the firm on-line, or make a simple telephone call to get more information.
Who will help me if I use a dissertation consultation service?
If you use a dissertation consultation service, you will be helped by a professional who is trained to help students as they work on their dissertation. This professional will be scientifically minded, will know how the dissertation is supposed to be laid out, and will be a professional statistician. This last part, the fact that the person providing the dissertation consultation service will be trained in statistics, is especially important when it comes to dissertations. This is true because all dissertations contain statistics, and this is usually where most students either make mistakes or spend the most time. This is not necessary, however, as the help of a dissertation consultation service can make the statistical procedures that are necessary for your dissertation much easier to understand. Additionally a dissertation consultation service will instruct you when it comes to the statistical part of your dissertation. This will prove vital later in the process of your dissertation as you will have to orally defend your dissertation. If you do not have a working knowledge of all of the statistics that are a part of your dissertation, you will not pass the oral defense of your dissertation, and you will therefore not receive your doctoral degree—or at the very least, you will receive it later then you planned as you will be forced to delay the acquisition of your doctoral degree because you are not prepared for your oral defense.
Additionally, the trained professional who will be providing you with the dissertation consultation service should also be able to communicate well with the student. Because the student and the person providing the dissertation consultation service will be working closely for as long as the project or dissertation takes, it is very important that the person who is providing the dissertation consultation service be able to communicate respectfully, effectively and efficiently. The best way for a student to know if the person providing the dissertation consultation service is in fact able to communicate well is to make a phone call to the dissertation consulting firm and talk to the person who will be providing the student help.
Monday, July 6, 2009
What is Dissertation Methodology?
What is the dissertation methodology section of the dissertation and what is dissertation methodology?
The dissertation methodology of a dissertation is two things: it is how, exactly, the student has arrived at his or her conclusions and it is a separate chapter in the dissertation that outlines all of the steps a student has taken to reach his or her conclusions.
Is the dissertation methodology important?
YES! The dissertation methodology is perhaps the most important part of the dissertation because if the dissertation methodology is not done correctly, or if the student chooses incorrect procedures, steps, tests, etc. to complete the dissertation, then the results of the dissertation will not be accurate and thus the entire dissertation will not be acceptable. The dissertation methodology is therefore extremely important and the dissertation methodology must therefore be done with precision, expertise and with much care.
Can I get help on the dissertation methodology?
YES! There is much help available on the dissertation methodology because the dissertation methodology is the most important aspect of the dissertation. This help can come from many sources. One source for help on the dissertation methodology is the doctoral student’s advisor. The doctoral student’s advisor is a great resource for help and assistance for the student, however, the student’s advisor is not always available or eager to help the student. In fact, many times the student starts the dissertation methodology and the statistics portion of the dissertation only to later realize that both the dissertation methodology and the statistics portion of the dissertation were not done correctly. (The statistics portion of the dissertation goes hand-in-hand with the dissertation methodology, as the dissertation methodology lays out all of the important statistical procedures to be conducted.) In this scenario, the student must start most of his or her research and work all over again, and this takes a large amount of time. There is help, however, as a dissertation consultant can act as a permanent advisor to students as a dissertation consultant can take the student through the entire dissertation step by step. This includes giving much help on the dissertation methodology of the dissertation.
How can dissertation consultants help me with the dissertation methodology?
Dissertation consultants can help students with the dissertation methodology because dissertation consultants are trained in all things regarding statistics. Thus, dissertation consultants are experts when it comes to the dissertation methodology. In fact, dissertation consultants can even instruct students as to how to do their dissertation methodology. With the help of dissertation consultants, the doctoral student will not have any problems with the dissertation methodology because all of the appropriate steps for the statistical parts of the dissertation will be accurately detailed and described. And once the dissertation methodology is complete, the doctoral student will also have a much easier time in doing the statistical portion of the dissertation. This is true because again, the dissertation methodology lays out exactly what needs to be done when it comes to the dissertation statistics portion of the dissertation. Thus, with a precise, accurate, specific and valid dissertation methodology section, the student will essentially have a road map of what needs to be done and how, exactly, it needs to be done.
Is the dissertation methodology section time consuming?
The dissertation methodology section can indeed be time consuming, but it does not have to be! With the help of dissertation consultants, the dissertation methodology can be completed in a timely manner. Thus, dissertation consultants can save the student much time when it comes to the dissertation methodology and to the entire dissertation as dissertation consultants will provide all that needs to be provided in terms of instruction, guidance, advice, support and help.
For information on Statistics Solutions, the country's leader in dissertation consulting, click here.
The dissertation methodology of a dissertation is two things: it is how, exactly, the student has arrived at his or her conclusions and it is a separate chapter in the dissertation that outlines all of the steps a student has taken to reach his or her conclusions.
Is the dissertation methodology important?
YES! The dissertation methodology is perhaps the most important part of the dissertation because if the dissertation methodology is not done correctly, or if the student chooses incorrect procedures, steps, tests, etc. to complete the dissertation, then the results of the dissertation will not be accurate and thus the entire dissertation will not be acceptable. The dissertation methodology is therefore extremely important and the dissertation methodology must therefore be done with precision, expertise and with much care.
Can I get help on the dissertation methodology?
YES! There is much help available on the dissertation methodology because the dissertation methodology is the most important aspect of the dissertation. This help can come from many sources. One source for help on the dissertation methodology is the doctoral student’s advisor. The doctoral student’s advisor is a great resource for help and assistance for the student, however, the student’s advisor is not always available or eager to help the student. In fact, many times the student starts the dissertation methodology and the statistics portion of the dissertation only to later realize that both the dissertation methodology and the statistics portion of the dissertation were not done correctly. (The statistics portion of the dissertation goes hand-in-hand with the dissertation methodology, as the dissertation methodology lays out all of the important statistical procedures to be conducted.) In this scenario, the student must start most of his or her research and work all over again, and this takes a large amount of time. There is help, however, as a dissertation consultant can act as a permanent advisor to students as a dissertation consultant can take the student through the entire dissertation step by step. This includes giving much help on the dissertation methodology of the dissertation.
How can dissertation consultants help me with the dissertation methodology?
Dissertation consultants can help students with the dissertation methodology because dissertation consultants are trained in all things regarding statistics. Thus, dissertation consultants are experts when it comes to the dissertation methodology. In fact, dissertation consultants can even instruct students as to how to do their dissertation methodology. With the help of dissertation consultants, the doctoral student will not have any problems with the dissertation methodology because all of the appropriate steps for the statistical parts of the dissertation will be accurately detailed and described. And once the dissertation methodology is complete, the doctoral student will also have a much easier time in doing the statistical portion of the dissertation. This is true because again, the dissertation methodology lays out exactly what needs to be done when it comes to the dissertation statistics portion of the dissertation. Thus, with a precise, accurate, specific and valid dissertation methodology section, the student will essentially have a road map of what needs to be done and how, exactly, it needs to be done.
Is the dissertation methodology section time consuming?
The dissertation methodology section can indeed be time consuming, but it does not have to be! With the help of dissertation consultants, the dissertation methodology can be completed in a timely manner. Thus, dissertation consultants can save the student much time when it comes to the dissertation methodology and to the entire dissertation as dissertation consultants will provide all that needs to be provided in terms of instruction, guidance, advice, support and help.
For information on Statistics Solutions, the country's leader in dissertation consulting, click here.
Monday, June 29, 2009
Statistical Tests
Statistical tests are of various types, depending upon the nature of the study. Statistical tests provide a method for making quantitative decisions about a particular sample. Statistical tests mainly test the hypothesis that is made about the significance of an observed sample.
Statistics Solutions is the country's leader in statistical consulting and can assist with selecting and analyzing the appropriate statistical test for your dissertation. Contact Statistics Solutions today for a free 30-minute consultation.
There are some key concepts of statistical tests that can help in understanding statistical tests.
Type I error: Type I error in a statistical test is usually committed when a correct sample is rejected.
Type II error: Type II error in a statistical test is usually committed when a false sample is accepted.
We can say that statistical tests are generally categorized into various types depending upon the type of field. Statistical tests are carried out extensively in psychology, medicine, nursing and business.
In the field of psychology, statistical tests of significances like t-test, z test, f test, chi square test, etc., are carried out to test the significance between the observed samples and the hypothetical or expected samples. For example, if a researcher wants to conduct a statistical test upon the significant difference between the IQ levels of two college students, then the researcher can perform the t statistical test for the difference of the two samples. If one wants to test the goodness of fit of a particular assumed model, then one can use the chi square test of goodness of fit. This is the only statistical test (among other statistical tests), that helps in testing the goodness of fit of an assumed model.
In the field of business, statistical tests are used for conducting Analysis of variance (ANOVA). Analysis of variance (ANOVA) is basically used for examining the differences in the mean values of the dependent variables associated with the effect of the controlled independent variables, after taking into account the influence of the uncontrolled independent variables. Thus, in Analysis of variance (ANOVA), f statistical test calculates the significance of the samples.
Statistical tests are directly correlated to statistical inference. Statistical inference involves tests of hypothesis, where statistical tests play a crucial role. In the field of medicine and nursing, tests of hypotheses are conducted using various statistical tests. If the researcher makes mistakes in calculation while performing the statistical tests, then the researcher might end up committing a type II error. In other words, if the researcher makes a mistake in calculation, then the statistical tests will conclude that a false drug sample is a correct drug sample. Further, the researcher might end up tagging a false drug sample as a correct drug sample. Thus, the researcher should be cautious while performing statistical tests. In the field of medicine and nursing, errors in statistical tests can result in huge problems in people’s lives, as it affects their drugs and dosages etc.
Statistical tests can be performed in software such as SPSS. Statistical tests in SPSS can be performed with the help of the “analysis” menu. For every statistical test, there are different sample sizes. In the t test, for example, we should have a sample size less than 30. Similarly, for a statistical z test, we should have a sample size more than 30. Statistical tests come with some general assumptions like the assumption that samples should be drawn from the population in a random manner. The observations in statistical tests must be independent. The observations in statistical tests must have the same underlying distribution. Especially, in the chi sq statistical test, observations must be grouped in different categories. Normal distribution of deviations is assumed in statistical tests.
Statistics Solutions is the country's leader in statistical consulting and can assist with selecting and analyzing the appropriate statistical test for your dissertation. Contact Statistics Solutions today for a free 30-minute consultation.
There are some key concepts of statistical tests that can help in understanding statistical tests.
Type I error: Type I error in a statistical test is usually committed when a correct sample is rejected.
Type II error: Type II error in a statistical test is usually committed when a false sample is accepted.
We can say that statistical tests are generally categorized into various types depending upon the type of field. Statistical tests are carried out extensively in psychology, medicine, nursing and business.
In the field of psychology, statistical tests of significances like t-test, z test, f test, chi square test, etc., are carried out to test the significance between the observed samples and the hypothetical or expected samples. For example, if a researcher wants to conduct a statistical test upon the significant difference between the IQ levels of two college students, then the researcher can perform the t statistical test for the difference of the two samples. If one wants to test the goodness of fit of a particular assumed model, then one can use the chi square test of goodness of fit. This is the only statistical test (among other statistical tests), that helps in testing the goodness of fit of an assumed model.
In the field of business, statistical tests are used for conducting Analysis of variance (ANOVA). Analysis of variance (ANOVA) is basically used for examining the differences in the mean values of the dependent variables associated with the effect of the controlled independent variables, after taking into account the influence of the uncontrolled independent variables. Thus, in Analysis of variance (ANOVA), f statistical test calculates the significance of the samples.
Statistical tests are directly correlated to statistical inference. Statistical inference involves tests of hypothesis, where statistical tests play a crucial role. In the field of medicine and nursing, tests of hypotheses are conducted using various statistical tests. If the researcher makes mistakes in calculation while performing the statistical tests, then the researcher might end up committing a type II error. In other words, if the researcher makes a mistake in calculation, then the statistical tests will conclude that a false drug sample is a correct drug sample. Further, the researcher might end up tagging a false drug sample as a correct drug sample. Thus, the researcher should be cautious while performing statistical tests. In the field of medicine and nursing, errors in statistical tests can result in huge problems in people’s lives, as it affects their drugs and dosages etc.
Statistical tests can be performed in software such as SPSS. Statistical tests in SPSS can be performed with the help of the “analysis” menu. For every statistical test, there are different sample sizes. In the t test, for example, we should have a sample size less than 30. Similarly, for a statistical z test, we should have a sample size more than 30. Statistical tests come with some general assumptions like the assumption that samples should be drawn from the population in a random manner. The observations in statistical tests must be independent. The observations in statistical tests must have the same underlying distribution. Especially, in the chi sq statistical test, observations must be grouped in different categories. Normal distribution of deviations is assumed in statistical tests.
Monte Carlo Methods
Monte Carlo methods are methods that help the researcher in estimating solutions. This in turn helps the researcher in addressing a variety of mathematical problems that involve several statistical sampling experiments. The Monte Carlo methods are nothing but the collection of the different types of procedures that perform the same operations. The Monte Carlo methods iteratively evaluate the deterministic model by utilizing the method of random numbers and the theory of probability for getting an almost-accurate answer for the problem.
Statistics Solutions is the country's leader in statistical consulting and can assist with Monte Carlo methods for your dissertation. Contact Statistics Solutions today for a free 30-minute consultation.
The researchers should note that Monte Carlo methods only help in obtaining an approximate outcome. Therefore, when a researcher uses the Monte Carlo methods, the error approximation is the crucial factor. While using the Monte Carlo methods, the researcher must take the error approximation factor into account.
The various types of Monte Carlo methods used by the researcher have relatively different levels of exactness. This also depends upon the type of question or problem that is to be addressed by the investigator. The Monte Carlo methods are applicable because they consist of the computation of difficult integrals. The Monte Carlo methods are used in those cases where multi dimensional integrals are involved. The Monte Carlo methods are useful in those cases where logical approximation is required.
There are several Monte Carlo methods.
A method called the crude Monte Carlo method is a type of method that is used to solve the integral of a particular function, f(x), for example if it falls under the limits ‘a’ and ‘b.’ In this Monte Carlo method, the researcher selects a number ‘N’ from the random sample, ‘s.’ In this Monte Carlo method, the limit ‘a’ and ‘b’ on which the function is integrated is not equal to the value of the sample size. After this, the investigator then locates the function value f(s) in the function f(x) for each random sample‘s’ in the Monte Carlo method. After locating, the researcher then performs the addition of all these values and divides the sum by ‘N,’ which gives the mean values from the sample in the Monte Carlo methods.
The investigator then multiplies the value in order to obtain the integral in the Monte Carlo methods.
A method called the acceptance rejection Monte Carlo method is that type of Monte Carlo method that is a flexible technique and is simple to understand. However, this type of Monte Carlo method provides the researcher with one of the least approximate results among all four types of Monte Carlo methods.
The reason behind using this type of Monte Carlo method is that it is useful for the researcher to obtain the variance by simply adding up the variances for each sub interval.
The first two Monte Carlo methods that are discussed are generally the two basic important techniques that are important for the researcher to understand. As such, Monte Carlo methods are used extensively since they serve as a basis in more complex techniques.
The Monte Carlo methods are widely used in various disciplines like physics and chemistry, as they simulate the tedious reactions and interactions.
There is also a smoothening property in the Monte Carlo methods that is useful in the case of complex problems. Approximation of the complex problems is generally very time-consuming but the Monte Carlo methods make it easy.
The Monte Carlo methods can be used in the field of computer vision. The Monte Carlo methods in the field of computer vision are used for object tracking.
Statistics Solutions is the country's leader in statistical consulting and can assist with Monte Carlo methods for your dissertation. Contact Statistics Solutions today for a free 30-minute consultation.
The researchers should note that Monte Carlo methods only help in obtaining an approximate outcome. Therefore, when a researcher uses the Monte Carlo methods, the error approximation is the crucial factor. While using the Monte Carlo methods, the researcher must take the error approximation factor into account.
The various types of Monte Carlo methods used by the researcher have relatively different levels of exactness. This also depends upon the type of question or problem that is to be addressed by the investigator. The Monte Carlo methods are applicable because they consist of the computation of difficult integrals. The Monte Carlo methods are used in those cases where multi dimensional integrals are involved. The Monte Carlo methods are useful in those cases where logical approximation is required.
There are several Monte Carlo methods.
A method called the crude Monte Carlo method is a type of method that is used to solve the integral of a particular function, f(x), for example if it falls under the limits ‘a’ and ‘b.’ In this Monte Carlo method, the researcher selects a number ‘N’ from the random sample, ‘s.’ In this Monte Carlo method, the limit ‘a’ and ‘b’ on which the function is integrated is not equal to the value of the sample size. After this, the investigator then locates the function value f(s) in the function f(x) for each random sample‘s’ in the Monte Carlo method. After locating, the researcher then performs the addition of all these values and divides the sum by ‘N,’ which gives the mean values from the sample in the Monte Carlo methods.
The investigator then multiplies the value in order to obtain the integral in the Monte Carlo methods.
A method called the acceptance rejection Monte Carlo method is that type of Monte Carlo method that is a flexible technique and is simple to understand. However, this type of Monte Carlo method provides the researcher with one of the least approximate results among all four types of Monte Carlo methods.
The reason behind using this type of Monte Carlo method is that it is useful for the researcher to obtain the variance by simply adding up the variances for each sub interval.
The first two Monte Carlo methods that are discussed are generally the two basic important techniques that are important for the researcher to understand. As such, Monte Carlo methods are used extensively since they serve as a basis in more complex techniques.
The Monte Carlo methods are widely used in various disciplines like physics and chemistry, as they simulate the tedious reactions and interactions.
There is also a smoothening property in the Monte Carlo methods that is useful in the case of complex problems. Approximation of the complex problems is generally very time-consuming but the Monte Carlo methods make it easy.
The Monte Carlo methods can be used in the field of computer vision. The Monte Carlo methods in the field of computer vision are used for object tracking.
Friday, June 26, 2009
Path Analysis
Path analysis represents an attempt to deal with causal types of relationships. Path analysis was developed by Sewall Wright in 1930. Path analysis is very useful in illustrating the number of issues that are involved in causal analysis.
Statistics Solutions is the country's leader in statistical consulting and can assist with path analysis for your dissertation. Contact Statistics Solutions today for a free 30-minute consultation.
Path Analysis can be carried out by the researcher diagrammatically or graphically in the form of circles and arrows, which indicate various causations among variables. The ultimate goal of path analysis is to predict the regression weight. The regression weight is predicted during path analysis, and then compared to the observed correlation matrix. Path analysis is also applicable in cases where the researcher wants to perform a goodness of fit test.
There are certain terminologies that are used in Path analysis.
The exogenous variables in Path analysis are variables whose causes are outside of the model.
The endogenous variables in Path are variables whose causes are inside the model.
The recursive model in Path analysis is a causal model that is unidirectional. In other words, they have one way causal flow. This model in Path analysis has neither feedback loops nor any reciprocal effects. In this type of model in Path analysis, the variables cannot be both cause and affect at the same time.
The non recursive model in Path analysis is a causal model with feedback loops and reciprocal effects.
The path coefficient in Path analysis is the standardized regression coefficient that predicts one variable from another.
Path analysis is usually conducted with the help of an added module called the analysis of moment structures (AMOS). Other than the added module of SPSS called the analysis of moment structures (AMOS), there is other statistical software like SAS, LISREL, etc. that can be used to conduct path analysis. According to a well known researcher named Kline (1998), an adequate sample size should always be 10 times the amount of the parameters in path analysis.
The best sample size should be 20 times the number of parameters in path analysis.
Since path analysis is also a kind of statistical analysis, path analysis also comes with several assumptions.
In path analysis, the association among the model should be linear in nature. In path analysis, the associations among the models should be additive in nature. In path analysis, the association among the model should be causal in nature. The data that is used in path analysis should follow an interval type of scale. In order to reduce volatilities in the data, it is assumed in the theory of path analysis that all the error terms in path analysis are not correlated among the various variables. In path analysis, is it is also assumed that errors are not correlated among themselves. In path analysis, it is assumed that there is only one way causal flow.
Path analysis does have some limitations.
Path analysis can very well evaluate, test or compute two or more than two types of causal hypotheses. However, the major limitation of path analysis is that path analysis cannot establish the direction of causality.
Path analysis is applicable only in those kinds of cases where relatively small numbers of hypotheses can be easily represented by a single path.
Statistics Solutions is the country's leader in statistical consulting and can assist with path analysis for your dissertation. Contact Statistics Solutions today for a free 30-minute consultation.
Path Analysis can be carried out by the researcher diagrammatically or graphically in the form of circles and arrows, which indicate various causations among variables. The ultimate goal of path analysis is to predict the regression weight. The regression weight is predicted during path analysis, and then compared to the observed correlation matrix. Path analysis is also applicable in cases where the researcher wants to perform a goodness of fit test.
There are certain terminologies that are used in Path analysis.
The exogenous variables in Path analysis are variables whose causes are outside of the model.
The endogenous variables in Path are variables whose causes are inside the model.
The recursive model in Path analysis is a causal model that is unidirectional. In other words, they have one way causal flow. This model in Path analysis has neither feedback loops nor any reciprocal effects. In this type of model in Path analysis, the variables cannot be both cause and affect at the same time.
The non recursive model in Path analysis is a causal model with feedback loops and reciprocal effects.
The path coefficient in Path analysis is the standardized regression coefficient that predicts one variable from another.
Path analysis is usually conducted with the help of an added module called the analysis of moment structures (AMOS). Other than the added module of SPSS called the analysis of moment structures (AMOS), there is other statistical software like SAS, LISREL, etc. that can be used to conduct path analysis. According to a well known researcher named Kline (1998), an adequate sample size should always be 10 times the amount of the parameters in path analysis.
The best sample size should be 20 times the number of parameters in path analysis.
Since path analysis is also a kind of statistical analysis, path analysis also comes with several assumptions.
In path analysis, the association among the model should be linear in nature. In path analysis, the associations among the models should be additive in nature. In path analysis, the association among the model should be causal in nature. The data that is used in path analysis should follow an interval type of scale. In order to reduce volatilities in the data, it is assumed in the theory of path analysis that all the error terms in path analysis are not correlated among the various variables. In path analysis, is it is also assumed that errors are not correlated among themselves. In path analysis, it is assumed that there is only one way causal flow.
Path analysis does have some limitations.
Path analysis can very well evaluate, test or compute two or more than two types of causal hypotheses. However, the major limitation of path analysis is that path analysis cannot establish the direction of causality.
Path analysis is applicable only in those kinds of cases where relatively small numbers of hypotheses can be easily represented by a single path.
Multicollinearity
The term multicollinearity was first used by Ragnar Frisch. Multicollinearity means that there is a perfect or exact relationship between the regression exploratory variables. Linear regression analysis assumes that there is no perfect exact relationship among exploratory variables. In regression analysis, when this assumption is violated, the problem of Multicollinearity occurs.
Statistics Solutions is the country's leader in dissertation statistical consulting and can assist with your regression analysis. Contact Statistics Solutions today for a free 30-minute consultation.
In regression analysis, multicollinearity has the following types:
1. No multicollinearity: When the regression exploratory variables have no relationship with each other, then there is no multicollinearity in the data.
2. Low multicollinearity: When there is a relationship among the exploratory variables, but it is very low, then it is a type of low multicollinearity.
3. Moderate multicollinearity: When the relationship among the exploratory variables is moderate, then it is said to be moderate multicollinearity.
4. High multicollinearity: When the relationship among the exploratory variables is high or there is perfect correlation among them, then it said to be high multicollinearity.
5. Very high multicollinearity: When the relationship among the exploratory variables is exact, then it is the problem of very high multicollinearity, which should be removed from the data when regression analysis is conducted.
Many Factors affect multicollinearity. For example, multicollinearity may exist during the data collection process, or multicollinearity may exist due to the wrong selection of the model. For example, if we take the exploratory variables to be income and house size in our model, then the model will have the problem of multicollinearity because income and house size are highly correlated. Multicollinearity may also occur if we take too many exploratory variables in regression analysis.
Consequences of multicollinearity: If the data has a perfect or exact multicollinearity problem, then the following will be the impact of multicollinearity:
1. In the presence of multicollinearity, variance and covariance will be wider, which will make it difficult to reach a statistical decision for the null and alternative hypothesis.
2. In the presence of multicollinearity, the confidence interval will be wider due to the wider confidence interval. In this case, we will accept the null hypothesis, which should be rejected.
3. In the presence of multicollinearity, the standard error will increase and it makes the value of the t-test smaller. We will accept the null hypothesis that should be rejected.
4. Multicollinearity will increase the R-square as well, which will impact the goodness of fit of the model.
Detection of multicollinearity: The following are the methods that show the presence of multicollinearity:
1. In regression analysis, when R-square of the model is very high but there are very few significant t ratios, this shows multicollinearity in the data.
2. High correlation between exploratory variables also indicates the problem of multicollinearity.
3. Tolerance limit and variance inflating factor: In regression analysis, one-by-one minus correlation of the exploratory variable is called the variance inflating factor. As the correlation between the repressor variable increases, VIF also increases. More VIF shows the presence of multicollinearity. The inverse of VIF is called Tolerance. So the VIF and TOI have a direct connection.
Remedial measure of multicollinearity: In regression analysis, the first step is to detect multicollinearity. If multicollinearity is present in the data, then we can solve this problem by taking several steps. The first step is to drop the variable, which has the specification bias of multicollinearity. By combining the cross sectional data and the time series data, multicollinearity can be removed. If there is a high multicollinearity, then it can be removed by transforming the variable. By taking the first or the second, different variables can be transformed. By adding some new data, multicollinearity can be removed. In multivariate analysis, by taking the common score of the multicollinearity variable, multicollinearity can be removed. In factor analysis, principle component analysis is used to drive the common score of multicollinearity variables. A rule of thumb to detect multicollinearity is that when the VIF is greater than 10, then there is a problem of multicollinearity.
Contact Statistics Solutions today for more information on multicollinearity.
Statistics Solutions is the country's leader in dissertation statistical consulting and can assist with your regression analysis. Contact Statistics Solutions today for a free 30-minute consultation.
In regression analysis, multicollinearity has the following types:
1. No multicollinearity: When the regression exploratory variables have no relationship with each other, then there is no multicollinearity in the data.
2. Low multicollinearity: When there is a relationship among the exploratory variables, but it is very low, then it is a type of low multicollinearity.
3. Moderate multicollinearity: When the relationship among the exploratory variables is moderate, then it is said to be moderate multicollinearity.
4. High multicollinearity: When the relationship among the exploratory variables is high or there is perfect correlation among them, then it said to be high multicollinearity.
5. Very high multicollinearity: When the relationship among the exploratory variables is exact, then it is the problem of very high multicollinearity, which should be removed from the data when regression analysis is conducted.
Many Factors affect multicollinearity. For example, multicollinearity may exist during the data collection process, or multicollinearity may exist due to the wrong selection of the model. For example, if we take the exploratory variables to be income and house size in our model, then the model will have the problem of multicollinearity because income and house size are highly correlated. Multicollinearity may also occur if we take too many exploratory variables in regression analysis.
Consequences of multicollinearity: If the data has a perfect or exact multicollinearity problem, then the following will be the impact of multicollinearity:
1. In the presence of multicollinearity, variance and covariance will be wider, which will make it difficult to reach a statistical decision for the null and alternative hypothesis.
2. In the presence of multicollinearity, the confidence interval will be wider due to the wider confidence interval. In this case, we will accept the null hypothesis, which should be rejected.
3. In the presence of multicollinearity, the standard error will increase and it makes the value of the t-test smaller. We will accept the null hypothesis that should be rejected.
4. Multicollinearity will increase the R-square as well, which will impact the goodness of fit of the model.
Detection of multicollinearity: The following are the methods that show the presence of multicollinearity:
1. In regression analysis, when R-square of the model is very high but there are very few significant t ratios, this shows multicollinearity in the data.
2. High correlation between exploratory variables also indicates the problem of multicollinearity.
3. Tolerance limit and variance inflating factor: In regression analysis, one-by-one minus correlation of the exploratory variable is called the variance inflating factor. As the correlation between the repressor variable increases, VIF also increases. More VIF shows the presence of multicollinearity. The inverse of VIF is called Tolerance. So the VIF and TOI have a direct connection.
Remedial measure of multicollinearity: In regression analysis, the first step is to detect multicollinearity. If multicollinearity is present in the data, then we can solve this problem by taking several steps. The first step is to drop the variable, which has the specification bias of multicollinearity. By combining the cross sectional data and the time series data, multicollinearity can be removed. If there is a high multicollinearity, then it can be removed by transforming the variable. By taking the first or the second, different variables can be transformed. By adding some new data, multicollinearity can be removed. In multivariate analysis, by taking the common score of the multicollinearity variable, multicollinearity can be removed. In factor analysis, principle component analysis is used to drive the common score of multicollinearity variables. A rule of thumb to detect multicollinearity is that when the VIF is greater than 10, then there is a problem of multicollinearity.
Contact Statistics Solutions today for more information on multicollinearity.
Friday, June 19, 2009
Dissertation Statistics Consultants
Dissertation statistics consultants are the most efficient and affordable way to get help on your dissertation. Dissertation statistics consultants are consultants who are experts at both dissertations and at statistics, and as such, dissertation statistics consultants can help any student with his or her dissertation needs.
Statistics Solutions is the nation's leader in dissertation statistics consulting. Contact Statistics Solutions today for a free 30-minute consultation.
Dissertation statistics consultants are experts at both dissertations and statistics because dissertation statistics consultants are trained statisticians. Additionally, dissertation statistics consultants have provided help to thousands of students who need to finish a dissertation, and thus, they are also extremely well trained when it comes to working on a dissertation and ensuring that it is approved. In other words, the statistical skills of a dissertation statistics consultant combined with the experience of helping students with dissertations is the perfect combination of skills and expertise need to help any student finish his or her dissertation.
The dissertation itself is a very lengthy and difficult process, and chances are that if you have started this long and difficult project, that you know just how tedious and time consuming it is. In fact, many students often consider it to be the most challenging aspect of their entire student career. Add to all of this the pressure and stress that go along with having to finish it on time and successfully, and students simply become overwhelmed by the entire process of the dissertation. Dissertation statistics consultants can help these students, however, as dissertation statistics consultants can offer invaluable guidance, support and assistance throughout the entire dissertation process. And there is no better way to alleviate stress and assuage fears than to get help and assistance. Thus, dissertation statistics consultants can be the most invaluable tool when it comes to finishing a dissertation on-time and with success.
Dissertation statistics consultants will make the entire process of writing and working on your dissertation more efficient. Dissertation statistics consultants will do this by making sure that a student is taking every single correct step when it comes to the dissertation and the methodology that the student is using to complete his or her dissertation. In other words, the dissertation statistics consultant will ‘break everything down’ into little steps that are manageable, understandable and doable, and this will make the process of completing a dissertation much easier. Additionally, with the help of dissertation statistics consultants, the student will not make any missteps. A misstep occurs when a student somehow makes a mistake in terms of the methodology of a dissertation. These missteps are quite common and occur in the statistical part of the dissertation. Because statistics is a science and requires students to follow procedures, rules and guidelines very precisely, there is much room for students to make mistakes. And when a mistake or misstep occurs, the student must start that section over again. And this is incredibly time consuming. Dissertation statistics consultants will not let this happen, however, as dissertation statistics consultants are trained professionals when it comes to statistics. Additionally, they know the common missteps that are likely to happen—for example, using the wrong sample size when gathering data, or using the wrong test to interpret the data that has been gathered, etc—and dissertation statistics consultants will make sure that the student does not waste time and energy by falling into the common pitfalls of a dissertation. Thus, with the help of dissertation statistics consultants, the student will be able to finish his or her dissertation on time because he or she does not need to waste any time making very costly mistakes.
There is no doubt that dissertation statistics consultants are the best way to ensure results. Whether you are at the beginning, the middle or the end of your project, you should look into hiring dissertation statistics consultants as they can guarantee that you finish your dissertation successfully, on-time, and with confidence.
Statistics Solutions is the nation's leader in dissertation statistics consulting. Contact Statistics Solutions today for a free 30-minute consultation.
Dissertation statistics consultants are experts at both dissertations and statistics because dissertation statistics consultants are trained statisticians. Additionally, dissertation statistics consultants have provided help to thousands of students who need to finish a dissertation, and thus, they are also extremely well trained when it comes to working on a dissertation and ensuring that it is approved. In other words, the statistical skills of a dissertation statistics consultant combined with the experience of helping students with dissertations is the perfect combination of skills and expertise need to help any student finish his or her dissertation.
The dissertation itself is a very lengthy and difficult process, and chances are that if you have started this long and difficult project, that you know just how tedious and time consuming it is. In fact, many students often consider it to be the most challenging aspect of their entire student career. Add to all of this the pressure and stress that go along with having to finish it on time and successfully, and students simply become overwhelmed by the entire process of the dissertation. Dissertation statistics consultants can help these students, however, as dissertation statistics consultants can offer invaluable guidance, support and assistance throughout the entire dissertation process. And there is no better way to alleviate stress and assuage fears than to get help and assistance. Thus, dissertation statistics consultants can be the most invaluable tool when it comes to finishing a dissertation on-time and with success.
Dissertation statistics consultants will make the entire process of writing and working on your dissertation more efficient. Dissertation statistics consultants will do this by making sure that a student is taking every single correct step when it comes to the dissertation and the methodology that the student is using to complete his or her dissertation. In other words, the dissertation statistics consultant will ‘break everything down’ into little steps that are manageable, understandable and doable, and this will make the process of completing a dissertation much easier. Additionally, with the help of dissertation statistics consultants, the student will not make any missteps. A misstep occurs when a student somehow makes a mistake in terms of the methodology of a dissertation. These missteps are quite common and occur in the statistical part of the dissertation. Because statistics is a science and requires students to follow procedures, rules and guidelines very precisely, there is much room for students to make mistakes. And when a mistake or misstep occurs, the student must start that section over again. And this is incredibly time consuming. Dissertation statistics consultants will not let this happen, however, as dissertation statistics consultants are trained professionals when it comes to statistics. Additionally, they know the common missteps that are likely to happen—for example, using the wrong sample size when gathering data, or using the wrong test to interpret the data that has been gathered, etc—and dissertation statistics consultants will make sure that the student does not waste time and energy by falling into the common pitfalls of a dissertation. Thus, with the help of dissertation statistics consultants, the student will be able to finish his or her dissertation on time because he or she does not need to waste any time making very costly mistakes.
There is no doubt that dissertation statistics consultants are the best way to ensure results. Whether you are at the beginning, the middle or the end of your project, you should look into hiring dissertation statistics consultants as they can guarantee that you finish your dissertation successfully, on-time, and with confidence.
Tuesday, June 16, 2009
Dissertation Statistics Consultant
While it is extremely exciting to get to the point where a student is finally ready to begin his or her dissertation, that excitement is often short-lived as the student realizes exactly what needs to be done in order to successfully complete his or her dissertation. Because the dissertation is necessary to attain a doctoral degree, that excitement can quickly turn to stress, nervousness, anxiety and fear.
There is no need to stress over a dissertation, however, as a dissertation statistics consultant can help any student that needs to finish a dissertation. Statistics Solutions, Inc. is the country's leader in dissertation statistics consulting. Contact Statistics Solutions today for a free 30-minute consultation on your dissertation statistics.
A dissertation statistics consultant is a trained professional who offers help, assistance and guidance to a student throughout the dissertation writing process. With the help of a dissertation statistics consultant, the student will quickly learn that it is not necessary to worry over the completion of his or her dissertation as a dissertation statistics consultant can ease the pressures and worries of a student.
Because the dissertation statistics consultant is trained to help students, and because the dissertation statistics consultant has helped many students in the past, the dissertation statistics consultant is very well aware of the pressure and anxiety that students feel as they work on their dissertation. For this reason, one of the first things that a dissertation statistics consultant does is to come up with a plan of action. This plan of action includes building a timeline with the student so the student knows exactly what needs to be done and when it needs to be done. This timeline that is created with the dissertation statistics consultant will detail specific targets and due-dates. Thus, with the timeline created by the dissertation statistics consultant, the student can see exactly what needs to be done. This is one sure way to alleviate the stress and pressures that students who work on their dissertation feel. This is because building a timeline lessens the ‘mystery’ of what needs to be done next.
Not only will the dissertation statistics consultant build a reliable and easy-to-follow timeline, the dissertation statistics consultant will also tell the student exactly how to do everything on that timeline. Thus, the student who has the help of the dissertation statistics consultant will have the tools necessary to carry out the procedures and methodology of his or her dissertation.
One of the most time consuming aspects of the dissertation is the obtaining of valid and useful statistics. The statistics will eventually prove the dissertation, or a student’s point, so it is incredibly important to get accurate and valid statistics. With the help of a dissertation statistics consultant, this too is easy and manageable. Because a dissertation statistics consultant is a trained and expert statistician, the dissertation statistics consultant knows how to perform statistical analysis. And while everything in statistical analysis can be time-consuming and difficult, this is not true with the help of a dissertation statistics consultant. Further the dissertation statistics consultant will explain every single aspect of the statistics. This is incredibly helpful because most doctoral students are not adequately trained in statistics. While they are thoroughly trained and knowledgeable in their field of study, they are not trained properly in statistics. Thus, one of the most beneficial things that a dissertation statistics consultant provides is instruction. This instruction, provided by the dissertation statistics consultant, goes a long way in ensuring that the student succeeds with his or her dissertation. This is true because the student must orally defend his or her dissertation, and it is important for the student to have a working knowledge of what has been completed statistically in his or her dissertation. The dissertation statistics consultant will provide that working knowledge and the dissertation statistics consultant will guarantee that a student finishes his or her dissertation with success.
There is no need to stress over a dissertation, however, as a dissertation statistics consultant can help any student that needs to finish a dissertation. Statistics Solutions, Inc. is the country's leader in dissertation statistics consulting. Contact Statistics Solutions today for a free 30-minute consultation on your dissertation statistics.
A dissertation statistics consultant is a trained professional who offers help, assistance and guidance to a student throughout the dissertation writing process. With the help of a dissertation statistics consultant, the student will quickly learn that it is not necessary to worry over the completion of his or her dissertation as a dissertation statistics consultant can ease the pressures and worries of a student.
Because the dissertation statistics consultant is trained to help students, and because the dissertation statistics consultant has helped many students in the past, the dissertation statistics consultant is very well aware of the pressure and anxiety that students feel as they work on their dissertation. For this reason, one of the first things that a dissertation statistics consultant does is to come up with a plan of action. This plan of action includes building a timeline with the student so the student knows exactly what needs to be done and when it needs to be done. This timeline that is created with the dissertation statistics consultant will detail specific targets and due-dates. Thus, with the timeline created by the dissertation statistics consultant, the student can see exactly what needs to be done. This is one sure way to alleviate the stress and pressures that students who work on their dissertation feel. This is because building a timeline lessens the ‘mystery’ of what needs to be done next.
Not only will the dissertation statistics consultant build a reliable and easy-to-follow timeline, the dissertation statistics consultant will also tell the student exactly how to do everything on that timeline. Thus, the student who has the help of the dissertation statistics consultant will have the tools necessary to carry out the procedures and methodology of his or her dissertation.
One of the most time consuming aspects of the dissertation is the obtaining of valid and useful statistics. The statistics will eventually prove the dissertation, or a student’s point, so it is incredibly important to get accurate and valid statistics. With the help of a dissertation statistics consultant, this too is easy and manageable. Because a dissertation statistics consultant is a trained and expert statistician, the dissertation statistics consultant knows how to perform statistical analysis. And while everything in statistical analysis can be time-consuming and difficult, this is not true with the help of a dissertation statistics consultant. Further the dissertation statistics consultant will explain every single aspect of the statistics. This is incredibly helpful because most doctoral students are not adequately trained in statistics. While they are thoroughly trained and knowledgeable in their field of study, they are not trained properly in statistics. Thus, one of the most beneficial things that a dissertation statistics consultant provides is instruction. This instruction, provided by the dissertation statistics consultant, goes a long way in ensuring that the student succeeds with his or her dissertation. This is true because the student must orally defend his or her dissertation, and it is important for the student to have a working knowledge of what has been completed statistically in his or her dissertation. The dissertation statistics consultant will provide that working knowledge and the dissertation statistics consultant will guarantee that a student finishes his or her dissertation with success.
Monday, June 15, 2009
Continuous Probability Distribution
The continuous probability distribution is basically a kind of distribution that is based on the continuous type of random variables. The continuous type of random variable deals with the continuous probability distribution.
Statistics Solutions can assist with continuous probability distribution analysis for your dissertation, thesis or research. Contact Statistics Solutions today for a free 30-minute consultation.
The continuous type of variable in continuous probability distribution consists of the probability density function, called the pdf. Because in the continuous probability distribution the variable is not countable, it is measured with respect to the density.
A normal distribution in the continuous probability distribution generally falls in between the range of -∞ to +∞. This continuous probability distribution has the parameter as µ (called the mean) and σ2 (called the variance). The probability density function (pdf) of this continuous probability distribution is being given by the following:
f(x;µ, σ)= (1/ σ π
) exp(-0.5 (x-µ)2/ σ2).
This kind of continuous probability distribution has an important role in statistical theory for several reasons.
The distributions, like the Binomial distribution, Poisson distribution and Hyper Geometric distribution, are approximated by using the continuous probability distribution.
This type of continuous probability distribution is very much applicable in the Statistical Quality Control (SQC).
This type of continuous probability distribution is used in the study of large sample theory, when the normality is involved. The study of the sample statistics is done with the help of the curves of this type of continuous probability distribution.
The theory on which the significance tests (like the t-test or the F test) are based use assumptions that are assumed on the parent population, which belongs to this type of continuous probability distribution.
A continuous probability distribution called the gamma distribution generally falls in the range of 0 to ∞. This type of continuous probability distribution has the parameter ‘d>0’. The probability density function (pdf) of the continuous probability distribution is given by the following:
f(x)= exp(-x) xd-1/
This continuous probability distribution has a property called the additive property, which tells that the sum of the independent variables of this continuous probability distribution is equal to the variable of this continuous probability distribution.
A continuous probability distribution called beta distribution of the first kind has the range which ranges between 0 and 1. The parameters of this type of continuous probability distribution is µ>0 and v>0. The probability density function (pdf) of this type of continuous probability distribution is given by the following:
f(x)= (1/B(µ,v)) xµ-1 (1-x)v-1
A continuous probability distribution called the beta distribution of the second kind falls in the range of 0 to ∞. This type of continuous probability distribution has the parameters namely µ>0 and v>0.The probability density function (pdf) of this continuous probability distribution is given by the following:
f(x)= (1/B(µ,v)) xµ-1 (1+x)v+µ
The continuous probability distribution called the Weibul distribution falls in the range of µ to ∞. This type of continuous probability distribution consists of three parameters, namely c(>0), α(>0) and µ. The probability density function (pdf) in continuous probability distribution is given by the following:
f(x;c,α,µ) = (c (x-µ/α)c-1)/ α exp (-(x-µ/α)c)
A logistic distribution is a continuous probability distribution with the parameter α and β. This type of continuous probability distribution is used widely as a growth function in population and other demographic studies. This type of continuous probability distribution is considered as the mixture of the extreme values of the distributions.
A Cauchy distribution is a continuous probability distribution with the parameter ‘l’ > 0 and ‘µ’. This type of continuous probability distribution has the range of -∞ to +∞. The continuous probability distribution is given by the following:
f(x)= l/π(l2+(x-µ)2)
Statistics Solutions can assist with continuous probability distribution analysis for your dissertation, thesis or research. Contact Statistics Solutions today for a free 30-minute consultation.
The continuous type of variable in continuous probability distribution consists of the probability density function, called the pdf. Because in the continuous probability distribution the variable is not countable, it is measured with respect to the density.
A normal distribution in the continuous probability distribution generally falls in between the range of -∞ to +∞. This continuous probability distribution has the parameter as µ (called the mean) and σ2 (called the variance). The probability density function (pdf) of this continuous probability distribution is being given by the following:
f(x;µ, σ)= (1/ σ π
) exp(-0.5 (x-µ)2/ σ2).This kind of continuous probability distribution has an important role in statistical theory for several reasons.
The distributions, like the Binomial distribution, Poisson distribution and Hyper Geometric distribution, are approximated by using the continuous probability distribution.
This type of continuous probability distribution is very much applicable in the Statistical Quality Control (SQC).
This type of continuous probability distribution is used in the study of large sample theory, when the normality is involved. The study of the sample statistics is done with the help of the curves of this type of continuous probability distribution.
The theory on which the significance tests (like the t-test or the F test) are based use assumptions that are assumed on the parent population, which belongs to this type of continuous probability distribution.
A continuous probability distribution called the gamma distribution generally falls in the range of 0 to ∞. This type of continuous probability distribution has the parameter ‘d>0’. The probability density function (pdf) of the continuous probability distribution is given by the following:
f(x)= exp(-x) xd-1/
This continuous probability distribution has a property called the additive property, which tells that the sum of the independent variables of this continuous probability distribution is equal to the variable of this continuous probability distribution.
A continuous probability distribution called beta distribution of the first kind has the range which ranges between 0 and 1. The parameters of this type of continuous probability distribution is µ>0 and v>0. The probability density function (pdf) of this type of continuous probability distribution is given by the following:
f(x)= (1/B(µ,v)) xµ-1 (1-x)v-1
A continuous probability distribution called the beta distribution of the second kind falls in the range of 0 to ∞. This type of continuous probability distribution has the parameters namely µ>0 and v>0.The probability density function (pdf) of this continuous probability distribution is given by the following:
f(x)= (1/B(µ,v)) xµ-1 (1+x)v+µ
The continuous probability distribution called the Weibul distribution falls in the range of µ to ∞. This type of continuous probability distribution consists of three parameters, namely c(>0), α(>0) and µ. The probability density function (pdf) in continuous probability distribution is given by the following:
f(x;c,α,µ) = (c (x-µ/α)c-1)/ α exp (-(x-µ/α)c)
A logistic distribution is a continuous probability distribution with the parameter α and β. This type of continuous probability distribution is used widely as a growth function in population and other demographic studies. This type of continuous probability distribution is considered as the mixture of the extreme values of the distributions.
A Cauchy distribution is a continuous probability distribution with the parameter ‘l’ > 0 and ‘µ’. This type of continuous probability distribution has the range of -∞ to +∞. The continuous probability distribution is given by the following:
f(x)= l/π(l2+(x-µ)2)
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