PSYC 204 Lecture Notes - Lecture 14: Central Limit Theorem, Kxrk, Dfs Furniture
Document Summary
With sample data = can find point estimate [sample mean] of population mean parameter. Inferential statistics = use mean estimate to make generalization about population mean parameter. Range of values around sample estimate mean that w/ specific probability. Contains population parameter mean *with some confidence. For no(cid:449) assu(cid:373)e = k(cid:374)o(cid:449) populatio(cid:374)"s sta(cid:374)dard de(cid:448)iatio(cid:374) . Standard error x estimated using population standard deviation . All sampling means when do repeated samples = distributed around population mean with . Area under 95% curve: so if take sample in population = 95% time sample mean be within. Correspond to (-)1. 96 sd - (+) 1. 96 sd around population mean. Z-score of (-) 1. 96 to (+) 1. 96: with 95% confidence = population mean also within (-)1. 96 sd - (+) 1. 96 sd around estimate mean. So confidence interval of 95% = between z-score of (-) 1. 96 & (+) 1. 96. *confidence level can be 95% / 99% = how confident about population parameter mean in range.
