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Flashcards covering key procedures and their application in AP Statistics inference.
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1-proportion z-test/interval
Used for a single sample of categorical data (success/failure) with conditions: Random, 10% condition, and Large Counts (np ≥ 10, n(1-p) ≥ 10).
2-proportion z-test/interval
Used for two samples of categorical data to compare proportions, with conditions the same as for 1-proportion.
1-mean t-test/interval
Used for a single sample of quantitative data (mean) with conditions: Random, 10% condition, and Nearly Normal (n ≥ 30 or check graph).
2-mean t-test/interval
Used for two independent samples to compare means, with same conditions as 1-mean t-test.
Matched pairs t-test/interval
Used for paired quantitative data (e.g., before/after, twins), checking differences with conditions: Random, 10% condition, and Nearly Normal.
Chi-square test for independence
Used for one sample with two categorical variables to examine association, with conditions: Random, Expected counts ≥ 5.
Chi-square test for homogeneity
Used for two or more samples/groups to compare categorical data, with same conditions as Chi-square test for independence.
Chi-square goodness-of-fit
Used for one sample with one categorical variable vs. a distribution, with same conditions as Chi-square tests.
Linear regression t-test for slope
Used to check for a linear relationship between x and y, with conditions: Linearity, Independence, Normality, and Equal Spread (L.I.N.E).