What Distinguishes Analysis of Variance (ANOVA) from T-Tests

question 4

Multiple Choice

What distinguishes analysis of variance (ANOVA) from t-tests?

• A) The null hypotheses regarding the equality of means
• B) The underlying assumption of homogeneity of variances
• C) The number of groups being compared
• D) Applications for both within-subjects and between-subjects designs

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Definitions:

Confidence Interval

A selection of values, based on sample results, assumed to incorporate the value of an obscure population parameter.

Mean

The average value of a data set, calculated by adding up all the numbers in the set and then dividing by the count of the numbers.

Confidence Interval

A spectrum of values, from sample measurements, that is anticipated to capture the value of a hidden population parameter.

Standard Error

A statistical measure that describes the distribution of sample means around the population mean, indicating the accuracy of a sample mean as an estimate of the population mean.