PSYC 333 Study Guide - Midterm Guide: Dependent And Independent Variables, Interval Estimation, Raw Score

• School: Concordia University
• Department: Psychology
• Course: PSYC 333
• Professor: Alwin Spence

Document Summary

Confidence intervals: point estimate: summary of statistics from a sample that is just one number used as an estimate of the population parameter. Never accurate, better to use interval estimate when possible. Interval estimates: based on a sample statistic, provides a range of plausible values for the populatio(cid:374) para(cid:373)eter. Ra(cid:374)ge of sa(cid:373)ple statisti(cid:272)s to e(cid:454)pe(cid:272)t if the e(cid:454)peri(cid:373)e(cid:374)t (cid:449)e"re to be repeated. (confidence interval: confidence intervals: provide a range of values, where the average could fall into. Range around the mean, where you add or subtract the margin of error. Confirms findings of hypothesis testing and adds more detail: no overlap=statistical difference, reject null hypothesis, overlap= not statistically different, fail to reject null hypothesis. Interpretation: we are 95% confidence that the true population mean will fall inside the. Increase in population decreases the standard error and test statistic increases: assesses difference between means using standard deviation instead of standard error.