The chi-square test for normality makes a comparison between the observed histogram and a histogram based on normality with the same mean and standard deviation of that of the sample data.

Question

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The chi-square test for normality compares the observed frequencies in each bin of the histogram of the sample data to the expected frequencies under a normal distribution with the same mean and standard deviation as the sample data. This comparison helps to assess whether the sample data deviate significantly from a normal distribution.

The Chi-Square Test for Normality Makes a Comparison Between the Observed