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Chapter 4 Analysis of Variance 4.3 Tests for Two Means Hypotheses About Mean Differences Many research hypotheses compare two population means: Women live longer than men Republicans are more conservative
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Analysis of variance (ANOVA) is a statistical technique used to determine if there are any statistically significant differences between the means of three or more groups.
Researchers, statisticians, and analysts are required to file analysis of variance when conducting experiments or studies involving multiple groups.
To fill out analysis of variance, one must first collect the data, calculate the means of each group, determine the variability within each group, and then calculate the F-statistic to test for significant differences.
The purpose of analysis of variance is to determine if there are any significant differences between the means of the groups being compared, and to identify which groups, if any, are different from the others.
Information such as the means of each group, the variability within each group, the F-statistic, degrees of freedom, and the p-value must be reported on analysis of variance.
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