PSYC 2F23 Study Guide - Final Guide: Central Tendency, Central Limit Theorem, Squared Deviations From The Mean

• School: Brock University
• Department: Psychology
• Course: PSYC 2F23
• Professor: Tim Murphy

Document Summary

The distribution of sample means: is a collection of sample means for all of the possible random samples of a particular size (n) that can be obtained from a population. Sampling error: the natural discrepancy, or amount of error, between a sample statistic and its corresponding population parameter. Expected value of m ( x ): the mean of the distribution of sample means is equal to the mean of the population of scores. An unbiased estimate of : on average, the sample mean produces a value that exactly matches the population mean. Standard error of m: the standard deviation of the distribution of sample means. The standard error provides a measure of how much distance is expected on average between a sample mean (m) and the population mean ( ) Standard deviation (x- ): measures the standard distance between a score and the population mean: used when working with a distribution of scores.