PSY 230- Final Exam Guide - Comprehensive Notes for the exam ( 23 pages long!)

• School: University of Arizona
• Department: Psychology Main
• Course: PSY 230
• Professor: Adam Lazarewicz

Document Summary

Make sure that you know when you would want to use each of the t hypothesis tests that we have studied. Important with small samples (t-distributions isn"t very normal with small samples) . 25 large effect size: confidence intervals, an interval, or range of values center around a sample statistic. Using provided formulas, be able to calculate and interpret: cohen"s d, s = square root of s2. In many cases, a researcher could choose to conduct either an independent-measures study or a repeated-measures study. Independent measures different people in 2 groups >> (small) possibility that group differences are due to preexisting difference. Why does sampling error occur: sampling error: naturally occurring discrepancy (error) that exists between a sample statistic and the corresponding population parameter, why: a sample typically will not provide a perfectly accurate representation of its population. There typically is some discrepancy (or error) between a statistic computed for a sample and the corresponding parameter for the population.