Chi Squared Practice-Which test?

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What is the Chi-square Goodness of Fit Test?

Back

A statistical test used to determine if the observed frequencies of a categorical variable match the expected frequencies.

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When would you use the Chi-Square Test for Independence/Association?

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When you want to determine if there is a significant association between two categorical variables.

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What is the Chi-Square Test for Homogeneity?

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A test used to determine if different populations have the same distribution of a categorical variable.

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What type of data is required for Chi-square tests?

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Categorical data, which can be divided into distinct categories.

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What does a significant Chi-square test result indicate?

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It indicates that there is a statistically significant difference between the observed and expected frequencies.

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What is the null hypothesis in a Chi-square Goodness of Fit Test?

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The null hypothesis states that the observed frequencies match the expected frequencies.

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What is the alternative hypothesis in a Chi-square Test for Independence?

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The alternative hypothesis states that there is a relationship between the two categorical variables.

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How do you calculate the Chi-square statistic?

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By summing the squared difference between observed and expected frequencies, divided by the expected frequencies.

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What is the significance level (alpha) commonly used in Chi-square tests?

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Typically, a significance level of 0.05 is used.

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What are degrees of freedom in the context of Chi-square tests?

Back

Degrees of freedom are calculated based on the number of categories minus one for the Goodness of Fit Test, or (rows-1)*(columns-1) for the Test for Independence.