HSS 2381 Study Guide - Final Guide: Type I And Type Ii Errors, Kurtosis, Squared Deviations From The Mean

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Hss2381 - quantitative methods in health sciences i. Comparing a sample to a population: measuring effect size with the t-statistic, directional hypotheses and one-tailed tests. Independent-measures design: t-statistic for an independent-measures design, hypothesis test and effect size (independent measures, assumptions underlying the independent-measures t-test. Related-measures design: t-statistic for related-measures design, hypothesis test and effect size (related measures, uses and assumptions of related-measures t-test, overview of t-tests: types of t-tests. Denominator = estimated standard error of the relevant distribution. When conducting t-test, assume: the t-test is used to compare only 2 means. Anova used to compare 3+ groups: treatment group has same variance as control group (& population used drawn); Dress code for t-test: must wear t-shirt: t-test: comparing a group to a population: Use t-test for small drawn samples that received some sort of treatment. Want to compare post-treatment sample to population to see if treatment has changed sample.