Chi Square Review

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What is the Chi-Square Test used for?

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The Chi-Square Test is used to determine if there is a significant association between categorical variables.

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What are degrees of freedom in a Chi-Square test?

Back

Degrees of freedom refer to the number of values in the final calculation of a statistic that are free to vary. For Chi-Square tests, it is calculated as (number of categories - 1).

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What is the Chi-Square Goodness of Fit Test?

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It tests whether the observed frequencies of a single categorical variable match the expected frequencies.

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What is the Chi-Square Test for Independence?

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It assesses whether two categorical variables are independent of each other.

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What is the Chi-Square Test for Homogeneity?

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It compares the distribution of a categorical variable across different populations.

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What is the minimum expected frequency for a Chi-Square test?

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The expected frequency for each category should be greater than or equal to 5.

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How do you calculate degrees of freedom for a Chi-Square test?

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Degrees of freedom = (number of rows - 1) * (number of columns - 1) for a contingency table.

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What does a significant Chi-Square result indicate?

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It indicates that there is a statistically significant association between the variables being tested.

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What is the null hypothesis in a Chi-Square test?

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The null hypothesis states that there is no association between the categorical variables.

Tags

CCSS.HSS.IC.B.3

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What is the alternative hypothesis in a Chi-Square test?

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The alternative hypothesis states that there is an association between the categorical variables.