PSYC 2040 Study Guide - Final Guide: John Tukey, Type I And Type Ii Errors, Central Limit Theorem

• School: University of Guelph
• Department: Psychology
• Course: PSYC 2040
• Professor: David Stanley

Document Summary

Statistic - a number that describes the sample. Parameter - a number that describes the population. Unbiased estimate - the mean of all possible values of that statistic is equal to the parameter. Biased estimate - the mean of all possible values of that statistic is not equal to the parameter. Population standard deviation - the amount that a score differs from the population mean. Standard error of the mean - the amount that sample means differ from the population mean due to the effects of random sampling, larger sample sizes result in smaller standard errors. Degrees of freedom - the number of values in a data set that are allowed to vary, the first value is the between groups degrees of freedom while the second is the within groups degrees of freedom. We use this when we are comparing one mean to another number.