The following data summarize the results from an independent-measures study comparing three treatment conditions. I II III n = 6 n = 6 n = 6 N = 18 M = 1 M = 2 M = 6 G = 54 SS = 60 SS = 65 SS = 40 ∑X² = 411 Calculate the sample variance for each of the three samples. I II III s² = 12.00 s² = 13.00 s² = 8.00 Use an ANOVA with α = .05 to determine whether there are any significant differences among the three treatment means. Source SS df MS F Fcriticalcritical Between treatments Within treatments Total
The following data summarize the results from an independent-measures study comparing three treatment conditions. I II III n = 6 n = 6 n = 6 N = 18 M = 1 M = 2 M = 6 G = 54 SS = 60 SS = 65 SS = 40 ∑X² = 411 Calculate the sample variance for each of the three samples. I II III s² = 12.00 s² = 13.00 s² = 8.00 Use an ANOVA with α = .05 to determine whether there are any significant differences among the three treatment means. Source SS df MS F Fcriticalcritical Between treatments Within treatments Total
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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26. Gravetter/Wallnau/Forzano, Essentials - Chapter 12 - End-of-chapter question 26
The following data summarize the results from an independent-measures study comparing three treatment conditions.
I | II | III | |
n = 6 | n = 6 | n = 6 | N = 18 |
M = 1 | M = 2 | M = 6 | G = 54 |
SS = 60 | SS = 65 | SS = 40 | ∑X² = 411 |
Calculate the sample variance for each of the three samples.
I | II | III |
s² = 12.00 | s² = 13.00 | s² = 8.00 |
Use an ANOVA with α = .05 to determine whether there are any significant differences among the three treatment means.
Source
|
SS
|
df
|
MS
|
F
|
Fcriticalcritical
|
---|---|---|---|---|---|
Between treatments | |||||
Within treatments | |||||
Total |
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