The null hypothesis for chi square states that the observed frequencies are equal to the expected frequencies.

Question

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This is the correct statement of the null hypothesis for chi square. The null hypothesis states that there is no significant difference between the observed frequencies and the expected frequencies, given a certain distribution or model. The alternative hypothesis, on the other hand, asserts that there is a significant difference between the observed and expected frequencies, indicating that the model or distribution may not be accurate or that there are other factors influencing the data.

The Null Hypothesis for Chi Square States That the Observed