23. The following data are from an experiment comparing three different treatment conditions: C 2 N = 15 5 ΣΧ354 %3D 6. 9. 8. 8. T = 10 T = 20 T = 30 SS = 14 SS = 30 SS 30 a. If the experiment uses an independent-measures design, can the researcher conclude that the treatments are significantly different? Test at the .05 level of significance. b. If the experiment is done with a repeated-measures design, should the researcher conclude that the treatments are significantly different? Set alpha at .05 again. c. Explain why the analyses in parts a and b lead to different conclusions.

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Two-Fa
23. The following data are from an experiment comparing
three different treatment conditions:
A
1
N = 15
2
5
ΣΧΧ-354
1
6.
9.
8
8
T = 10
T = 20
T = 30
SS = 14
SS = 30
SS = 30
%3D
a. If the experiment uses an independent-measures
design, can the researcher conclude that the
treatments are significantly different? Test at the
.05 level of significance.
b. If the experiment is done with a repeated-measures
design, should the researcher conclude that the
treatments are significantly different? Set alpha
at .05 again.
c. Explain why the analyses in parts a and b lead to
different conclusions.
24. The following data are from a repeated-measures
study comparing two treatment conditions.
Transcribed Image Text:Two-Fa 23. The following data are from an experiment comparing three different treatment conditions: A 1 N = 15 2 5 ΣΧΧ-354 1 6. 9. 8 8 T = 10 T = 20 T = 30 SS = 14 SS = 30 SS = 30 %3D a. If the experiment uses an independent-measures design, can the researcher conclude that the treatments are significantly different? Test at the .05 level of significance. b. If the experiment is done with a repeated-measures design, should the researcher conclude that the treatments are significantly different? Set alpha at .05 again. c. Explain why the analyses in parts a and b lead to different conclusions. 24. The following data are from a repeated-measures study comparing two treatment conditions.
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