STATS 250 Study Guide - Final Guide: Null Hypothesis, Dependent And Independent Variables, Regression Analysis

• School: U of M
• Department: Statistics
• Course: STATS 250
• Professor: Brenda Gunderson

Document Summary

Anova = analysis of variance, extension of two independent samples pooled test. Random, independent sample (k = number samples) Each population a normal distribution n(mean of population,variance) Sample variances should be similar can"t be more than 2x. H0 = mean 1 = mean 2 = mean 3. Ha = at least one population mean response is different. Ms groups (mean square between the groups) Good, unbiased only if null hypothesis is true. If it"s not true, it"s an overestimation (too big) ***mse (mean square within or due to error) Since the msg is very big that means it"s overestimating and the null is not true since the. F statistic (from levene"s test) = . Calculate the sample mean and sample variance for each sample . Calculate the overall sample mean using (n = n1+n2+nx) . Sensitive to differences between the sample means. Calculate the sum of squares due to error (sse)