PSY201H1 Lecture Notes - Lecture 9: Central Limit Theorem, Null Hypothesis, Confidence Interval
Document Summary
Understand when a t statistic is used (instead of a z score) for hypothesis testing. Perform a hypothesis test using the t statistic. Compute cohen"s d and the percentage of variance accounted for (r2) to measure effect size. Construct confidence intervals ad understand how the sample size and percentage of confidence influence the width of a confidence interval. The t statistic allows researchers to use sample data to test hypotheses about an unknown population mean. The particular advantage of the t statistic is that the t statistic does not require any knowledge of the population standard deviation. Thus, the t statistic can be used to test hypotheses about a completely unknown population; that is, both and are unknown, and the only available information about the population comes from the sample. All that is required for a hypothesis test with t is a sample and a reasonable hypothesis about the population mean.
