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The underlying principle is that the square of an independent Normal variable has a chi-square distribution with one degree of freedom (df). A second principle is that the sum of k independent chi-squares variables is a chi-squared variable with k df.

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Related Questions

How do pronounce chi-square test?

The chi-square test is pronounced "keye-skwair" test.


What is a Chi Square table used for?

A Chi-square table is used in a Chi-square test in statistics. A Chi-square test is used to compare observed data with the expected hypothetical data.


Is Chi-square a test of association?

The Chi-squared statistic can be used to test for association.


What is a chi square test?

The Chi-square test is a statistical test that is usually used to test how well a data set fits some hypothesised distribution.


Chi-square test properties and importance?

square


What is the F ratio test and how is it different from Chi square square test?

A F-ratio test compares 2 variances and tell if they are significantly different. A Chi-square test compares count data.


Is the chi square of independence test a test a test of significance?

Yes.


Is chi square a test of relationship or test of difference?

yes it is


Is ' chi square test ' a multivariate tool?

no


Is the Chi Square test related to statistics?

Yes. It is a statistical test.


What conclusion is appropriate if a chi-square test produces a chi-square statistic near zero?

A chi-square statistic which is near zero suggests that the observations are exceptionally consistent with the hypothesis.


When should one use a t-test instead of a chi-square test for statistical analysis?

A t-test is used when comparing means of two groups, while a chi-square test is used for comparing frequencies or proportions of categorical data. Use a t-test when comparing numerical data and a chi-square test when comparing categorical data.