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3 guides on this topic

Inferential statistics

What each inferential statistics question is really asking, how to structure the answer, and where the marks are likely to sit.

Three discussion questions at two hundred words each: the difference between a goodness-of-fit test and a test of independence, a reflection on the week's material, and a plain-language explanation of a chi-square output. This guide covers the yes-or-no trap in question one, why question three is question one in disguise, and the decimal comma and internal inconsistency in the printed output.

Eleven Part A problems on t-tests and ANOVA plus four conceptual questions in Part B. This guide covers the independent-versus-dependent decision that runs through all of them, the one-tailed test question one flags, why p = .000 is never correct, and the arithmetic behind preferring ANOVA to repeated t-tests.

Find a nursing research article that used a t test or ANOVA and judge what the statistic did for it. The prompt's fourth question offers 'weakened' as an answer, and taking that option seriously is what separates an appraisal from a summary.

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