STATS 250 Lecture Notes - Lecture 12: Cadency, Standard Deviation, Null Hypothesis
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STATS 250 Full Course Notes
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Stats 250: introduction to statistics - lecture 12: analysis of variance. A method that allows us to compare the means of two or more normal populations based on independent random samples when the population variances are assumed to be equal. An extension of the two independent samples pooled t-test. An extension of the two independent samples t-test used for handling more than two populations. A technique for testing whether or not the means of several populations are equal. For each population, the model for the response is a normal distribution. H0: 1 = 2 = k vs. ha: at least one population mean response ni is different. Comparing two estimators of the common population variance 2. Technique for testing the equality of the means. Ms groups (mean square between the groups) An unbiased/good estimator of 2 if h0 is true. Mse (mean square within or due to error) An unbiased/good estimator of whether h0 is true or not.