Chi-square tests analyze categorical data patterns.
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Chi-square tests require that all expected frequencies be at least ___ to produce valid results. | Card: 3 / 16 |
In conducting a chi-square goodness-of-fit test, what are the two hypotheses you must state? | Card: 5 / 16 |
Null and Alternative Hypotheses
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False. Chi-square tests are designed specifically for categorical data, not numerical data. | Card: 8 / 16 |
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Fill in the blank: The formula for the chi-square statistic is χ² = ___, where O represents observed frequency and E represents expected frequency. | Card: 9 / 16 |
Riddle: I measure how far observed frequencies differ from what you expect. What am I? | Card: 11 / 16 |
What does a small p-value (typically ≤ 0.05) indicate in the context of chi-square tests? | Card: 13 / 16 |
A small p-value indicates strong evidence against the null hypothesis, leading to its rejection. | Card: 14 / 16 |
What distinguishes the chi-square test of independence from the chi-square test for homogeneity? | Card: 15 / 16 |
Chi-square tests have distinct purposes.
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