Question: Using this data: Multiple Comparisons Dependent Variable:DyeStrength Tukey HSD (I) Color (J) Color Mean Difference (I-J) Std. Error Sig. 95% Confidence Interval Lower Bound Upper
Using this data:
Multiple Comparisons
Dependent Variable:DyeStrength
Tukey HSD
(I) Color
(J) Color
Mean Difference (I-J)
Std. Error
Sig.
95% Confidence Interval
Lower Bound
Upper Bound
Blue
Green
35.200*
1.661
.000
31.08
39.32
Yellow
20.700*
1.661
.000
16.58
24.82
Green
Blue
-35.200*
1.661
.000
-39.32
-31.08
Yellow
-14.500*
1.661
.000
-18.62
-10.38
Yellow
Blue
-20.700*
1.661
.000
-24.82
-16.58
Green
14.500*
1.661
.000
10.38
18.62
*. The mean difference is significant at the 0.05 level.
Problem Set 4.7: Tukey HSD Interpretation
- Criterion: Interpret Tukey HSD results from SPSS output.
- Data: Use your output from Problem Set 4.10.
- Instruction: Identify where significant differences exist at the .05 level between your colors.
Feedback on incorrect answer below:
The criteria for this problem set requires addressing the results of the post hoc analysis. To do this, it is necessary to consider the purpose of post hoc testing, what the significance level means, and clearly and concisely report all of the information you are able to determine from this analysis. (Hint, there are a total of 3 things you should be reporting). Also, remember to distinguish between retaining and rejecting the null hypothesis.
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