chap 13 terms

# chap 13 terms - where the null hypothesis was rejected The...

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Chapter 13 New Terms and Concepts The following terms were introduced in this chapter. You should be able to define or describe each term and, where appropriate, describe how each term is related to other terms on the list. factor: In analysis of variance, an independent variable (or quasi-independent variable) is called a factor. levels of a factor: The specific conditions or values that are used to represent the factor are called levels. F-ratio: The test statistic for analysis of variance is called an F-ratio and compares the differences (variance) between treatments with the differences (variance) that are expected by chance. MS (Mean Square): In analysis of variance, a sample variance is called a mean square or MS, indicating that variance measures the mean of the squared deviations. post hoc test: A test that is conducted after an ANOVA with more than two treatment conditions

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Unformatted text preview: where the null hypothesis was rejected. The purpose of post hoc tests is to determine exactly which treatment conditions are significantly different. between-treatments SS, df, MS: Values used to measure and describe the differences between treatments (mean differences). within-treatments SS, df, MS: Values used to measure and describe the differences inside the treatment conditions. These differences are assumed to measure random, error variability. total SS and df: Values used to measure and describe the total amount of variability for the entire set of data. η2(eta squared): A measure of effect size based on the percentage of variance accounted for by the sample mean differences....
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chap 13 terms - where the null hypothesis was rejected The...

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