The chi-squared test statistic, χ², measures the extent to which the observed cell counts differ from those expected when H₀ is true.

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This statement is true. The chi-squared test statistic measures the deviation of the observed cell counts from the expected cell counts under a null hypothesis. In this case, the null hypothesis is that the distribution of the variables S1 and B1 is independent (i.e., H₀). The greater the value of the chi-squared test statistic, the more evidence there is for rejecting the null hypothesis and concluding that the variables are dependent.

The Chi-Squared Test Statistic, χ2, Measures the Extent to Which

The Chi-Squared Test Statistic, χ², Measures the Extent to Which