Which of the following is true of a one-sample chi-square test? A) The null hypothesis is that the actual frequencies in each category is different than those hypothesized B) The greater the difference between the actual and hypothesized frequencies in a category, the more likely the difference can be attributed to chance C) The value of the X² statistic expresses the extent of the difference between the actual and hypothesized frequencies D) The larger the divergence, the smaller the X² value E) A X² statistic is significant if it is less than .05

Question

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The X² statistic, also known as the chi-square statistic, measures the extent of the difference between the actual and hypothesized frequencies. Choices A, B, D, and E contain incorrect or incomplete information about the one-sample chi-square test.

Which of the Following Is True of a One-Sample Chi-Square