The following data are from an experiment comparing three different treatment conditions. A B C 0 1 2 2 5 5 N = 15 1 2 6 ΣX2 = 354 5 4 9 2 8 8 T = 10 T = 20 T = 30 SS = 14 SS = 30 SS = 30 If the experiment uses an independent-measures design, can the research conclude that the treatments are significantly different? Test at the .05 level of significance. 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. Explain why the analyses in parts a and b lead to different conclusions.
The following data are from an experiment comparing three different treatment conditions. A B C 0 1 2 2 5 5 N = 15 1 2 6 ΣX2 = 354 5 4 9 2 8 8 T = 10 T = 20 T = 30 SS = 14 SS = 30 SS = 30 If the experiment uses an independent-measures design, can the research conclude that the treatments are significantly different? Test at the .05 level of significance. 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. Explain why the analyses in parts a and b lead to different conclusions.
Chapter9: Sequences, Probability And Counting Theory
Section9.7: Probability
Problem 3SE: What is an experiment?
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Question
The following data are from an experiment comparing three different treatment conditions.
A |
B |
C |
|
0 |
1 |
2 |
|
2 |
5 |
5 |
N = 15 |
1 |
2 |
6 |
ΣX2 = 354 |
5 |
4 |
9 |
|
2 |
8 |
8 |
|
T = 10 |
T = 20 |
T = 30 |
|
SS = 14 |
SS = 30 |
SS = 30 |
|
- If the experiment uses an independent-measures design, can the research conclude that the treatments are significantly different? Test at the .05 level of significance.
- 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.
- Explain why the analyses in parts a and b lead to different conclusions.
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