Null hypothesis in a chi-square test of independence

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Reference no: EM131939095

1. If the null hypothesis for a goodness-of-fit test is not rejected, it can be concluded that the data are from a population with the specified probability distribution.

2. A chi-square contingency table analysis is not appropriate if it is suspected that the row and column categories are not independent.

3. To reject the null hypothesis in a chi-square test of independence is to decide that the categories in the rows are independent of those in the columns.

Reference no: EM131939095

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