If a data set contains "yes" and "no" answers from 50 men and 50 women, what would be the expected frequencies in the cells of a chi-square test? Why would a researcher use a chi-square test on this data set?

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The Answer is Chi-square tests the assumption that all cells have an equal number; therefore, in this example, the answer is 25 in each cell. The test would tell the researcher if there was a statistical difference from an equal distribution between men and women. The raw data (frequency counts) would need to be examined in order to reveal the direction and magnitude of the difference.

If a Data Set Contains "Yes" and "No" Answers from 50