answersLogoWhite

0


Best Answer

It is the chi-squared statistic which is the sum of (O-E)2/E, summed over all the categories.

O is the observed value in each category and E is the expected value under your hypothesis. You may need to merge categories to ensure that E > 5 and so avoid excessive importance being attached to small categories.

User Avatar

Wiki User

12y ago
This answer is:
User Avatar

Add your answer:

Earn +20 pts
Q: What is the test statistics for a goodness fit test?
Write your answer...
Submit
Still have questions?
magnify glass
imp
Related questions

When is chi-square tests for goodness of fit used?

Chi-Square Goodness-of-fit Test is used when you want to test if the sample observed follows an assumed theoretical distribution.


When is the chi-square goodness of fit a one-tailed test with the rejection region in the left tail?

Normally never! I suppose that it could be used to test if the goodness of fit is too good to be true!


When do you use goodness of fit in statistical analysis?

statistical goodness of fit test used for categorical data to test if a sample of data came from a population with a specific distribution. It can be applied for discrete distributions.


Is a pie chart good for chi-square goodness of fit test?

Probably not.


Is the chi-square goodness of fit a one-tailed test with the rejection region in the right tail?

true


Can population percentage be used to calculate chi-square goodness of fit test?

No, it cannot be used to measure that.


When is the chi-test used?

There are many chi-squared tests. You may mean the chi-square goodness-of-fit test or chi-square test for independence. Here is what they are used for.A test of goodness of fit establishes if an observed frequency differs from a theoretical distribution.A test of independence looks at whether paired observations on two variables, expressed in a contingency table, are independent of each.


How do you test the normality of a random variable?

There are various goodness-of-fit tests. The chi-square and Kolmogorov-Smirnoff tests are two of the better known of these.


What was the purpose of performing the Chi-Square test?

It is often a "goodness of fit" test. This is a test of how well the observations match the frequencies that would have been expected on theoretical basis. The theoretical basis may simply be your hypothesis.


One use of the chi-square goodness of fit test is to determine if specified multinomial probabilities in the null hypothesis is correct True False?

True.


How can you tell if the population data is related to the sample data?

There are Goodness-of-Fit tests that can be used. The choice of test will depend on what is known about the population and sample data.


What are the characteristics of a good measure of dispersion?

A good measure of dispersion is one such that the a goodness-of-fit test shows that the observed values agree well with the expected values.