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Boundless Statistics
Estimation and Hypothesis Testing
Statistics Textbooks Boundless Statistics Estimation and Hypothesis Testing
Statistics Textbooks Boundless Statistics
Statistics Textbooks
Statistics

Section 3

Comparing More than Two Means

Book Version 1
By Boundless
Boundless Statistics
Statistics
by Boundless
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5 concepts
Elements of a Designed Study

The problem of comparing more than two means results from the increase in Type I error that occurs when statistical tests are used repeatedly.

Randomized Design: Single-Factor

Completely randomized designs study the effects of one primary factor without the need to take other nuisance variables into account.

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Multiple Comparisons of Means

ANOVA is useful in the multiple comparisons of means due to its reduction in the Type I error rate.

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Randomized Block Design

Block design is the arranging of experimental units into groups (blocks) that are similar to one another, to control for certain factors.

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Factorial Experiments: Two Factors

A full factorial experiment is an experiment whose design consists of two or more factors with discrete possible levels.

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