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True or false: regarding the chi-square test, the expected counts represent the frequency we would expect...

True or false: regarding the chi-square test, the expected counts represent the frequency we would expect to see in each cell under the assumption that the null hypothesis is true.

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Given that, chi-square test, the expected counts represent the frequency we would expect to see in each cell under the assumption that the null hypothesis is true.

A chi-squared test is a hypothesis test which is used to test the association between two or more than two mutually exclusive classes and for goodness of fit test.

In a chi-squared test our null hypothesis is there is no association between the mutually exclusive classes (all class are independent). The purpose of the this test is to describe how likely the observed frequencies would be assuming the null hypothesis is true. i.e under null hypothesis the given condition is true.

Answer:- TRUE

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