In a Single-Factor Analysis of Variance, MST Is the Mean

question 3

Multiple Choice

In a single-factor analysis of variance, MST is the mean square for treatments and MSE is the mean square for error. The null hypothesis of equal population means is likely false if:

• A) MST is much larger than MSE.
• B) MST is much smaller than MSE.
• C) MST is equal to MSE.
• D) MST is zero.

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Definitions:

Level Of Success

A measure or evaluation of the extent to which specified goals, objectives, or tasks have been achieved.

Linearly Related

Describing a relationship between two variables where a change in one variable is associated with a proportional change in the other variable.

Significance Level

The probability of rejecting the null hypothesis when it is true; a measure of the risk of Type I error.

Test Statistic

A metric derived from sample data utilized in a hypothesis test to decide if the null hypothesis should be dismissed.