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Compute the number of replicates required for a completely randomized 4 × 4 factorial experiment. Assume we have an estimate of 20 for O (the residual standard error), we want a power of at least 0.8, use X = 0.05, and we %3D want to be able to detect MAIN effects if the difference between any two means (of one factor) exceeds 40 units.

Compute the number of replicates required for a completely randomized 4 × 4 factorial experiment. Assume we have an estimate of 20 for O (the residual standard error), we want a power of at least 0.8, use X = 0.05, and we %3D want to be able to detect MAIN effects if the difference between any two means (of one factor) exceeds 40 units.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Compute the number of replicates required for a completely randomized 4 X 4 factorial experiment. Assume we have an estimate of 20 for O (the residual standard error), we want a power of at least 0.8, use X = 0.05, and we want to be able to detect MAIN effects if the difference between any two means (of one factor) exceeds 40 units.
Transcribed Image Text:Compute the number of replicates required for a completely randomized 4 X 4 factorial experiment. Assume we have an estimate of 20 for O (the residual standard error), we want a power of at least 0.8, use X = 0.05, and we want to be able to detect MAIN effects if the difference between any two means (of one factor) exceeds 40 units.
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