20. The following data summarize the results from an independent-measures study comparing three treatment conditions. M=2 M=3 M=4 n=10 T=20 n=10 T=40 In=10 T=30 s2=2.67 s²=2.00|s²=1.33 a. Use an ANOVA with a = .05 to determine whether there are any significant differences among the three treatment means. Note: Because the samples are all the same size, MSwithin is the average of the three sample variances. b. Calculate n to measure the effect siz for this study.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter10: Statistics
Section10.3: Measures Of Spread
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20. The following data summarize the results
from an independent-measures study
comparing three treatment conditions.
M=2
M=3
M=4
n=10
T=20
n=10
T=30
n=10
T=40
s²=2.67 s²=2.00 s²=1.33
a. Use an ANOVA with a = .05 to
determine whether there are any
significant differences among the three
treatment means. Note: Because the
samples are all the same size, MSwithin is
the average of the three sample
variances.
b. Calculate n to measure the effect size
for this study.
Transcribed Image Text:20. The following data summarize the results from an independent-measures study comparing three treatment conditions. M=2 M=3 M=4 n=10 T=20 n=10 T=30 n=10 T=40 s²=2.67 s²=2.00 s²=1.33 a. Use an ANOVA with a = .05 to determine whether there are any significant differences among the three treatment means. Note: Because the samples are all the same size, MSwithin is the average of the three sample variances. b. Calculate n to measure the effect size for this study.
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