PSY 350 Lecture Notes - Lecture 31: Confidence Interval, Statistic, Test Statistic
Document Summary
Calculate and interpret a t-test comparing one sample mean to a known population mean. Use one- and two-tailed tests to test directional and nondirectional hypotheses. A one-sample t-test is useful when we know or can assume the population mean, but we don"t know the population standard deviation. One-sample designs are not rigorous, but can be necessary in certain circumstances. Step 2: choose your level and find the critical region. Lecture: effect sizes and confidence intervals for t-tests. Calculate and interpret cohen"s d, r2 for a one-sample t-test. Calculate and interpret confidence intervals for a one-sample t-test. When we are working with sample statistics, it is proper to call this the estimated. But sometimes we want to compare effects across studies with different kinds of analyses. Another measure of effect size that is useful for many kinds of analyses r2 = percent of variance in the outcome that is explained by the treatment.
