The null hypothesis in a chi-square goodness-of-fit test is that the observed distribution is the same as the expected distribution.

Name: The null hypothesis in a chi-square goodness-of-fit test is that the observed distribution is the same as the expected distribution.
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The null hypothesis in a chi-square goodness-of-fit test indeed states that there is no significant difference between the observed and expected frequencies in the categories being analyzed, implying the distributions are the same.

The Null Hypothesis in a Chi-Square Goodness-Of-Fit Test Is That