![]() Therefore, "van" contributes nothing to the resulting chi-square value all the divergence in the data comes from the "sedan" and "truck" categories. ![]() For this, you must use Stat > Tables > Chi-Squared Test for Association. For every problem in the textbook, the data is provided summarized into a two-way table. Which to choose depends on how your data is provided. The "sedan" and "truck" categories did not meet their expectation, but "van" did. Chi-squared test Minitab 17 Mary Parker page 1 of 2 Chapter 23: Chi-Square Test of Association in Minitab 17 All the appropriate menu items are under Stat > Tables. For example, if a goodness-of-fit test rejects the null hypothesis, is this outcome caused by all categories differing moderately from their expectations, or to a single category differing strongly from its expectation? For example, suppose you expect a sample of 100 cars in a very large parking lot to contain 50 sedans, 27 trucks, and 23 vans, but instead it contains 61 sedans, 16 trucks, and 23 vans. To perform the chi-square test of homogeneity on the raw data, it needs to be organized into two columns in the Minitab worksheet where one of the columns. If the p-value associated with your chi-square statistic is less than your selected α, the test rejects the null hypothesis that the model fits the data.įor categorical data, Minitab can report each category's contribution to the chi-square value, which quantifies how much of the total chi-square value is attributable to each category's divergence.
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