In: Statistics and Probability
18. Suppose you ran a between-subjects ANOVA in a study that had 3 levels of the independent variable, with 5 subjects assigned to each level. As part of your analysis, you calculated the following results: SStotal=1216. 738, SSbetween=787.930, and SSwithin=428.808. Calculate the F ratio. Was there a statistical difference between the three groups at the α=.05 significance level?
19. What is the effect size for the study described in Question 18? Is this a small, medium, or large effect size according to Cohen?
20. Suppose that the mean scores on the dependent variable for the three groups in the study described in Question 18 were 19, 26, and 23. Use Tukey’s HSD statistic (also called the q statistic) to determine whether any pair of these three means differed statistically from one another at the .05 significance level.
Please answer all the questions. 19 and 20 is an attachment to 18. Please also show how you got the answers so I can better understand these types of questions later in the future. Thank you
18)
SS | df | MS | F | |
Between: | 787.93 | 2 | 393.97 | 11.02 |
Within: | 428.81 | 12 | 35.73 | |
Total: | 1216.74 | 14 |
p-value | ||||
0.0019 | ||||
α = | 0.05 | |||
conclusion : | p-value<α , reject null hypothesis |
yes, there a statistical difference between the three groups
19)
Effect size = SS Between / SS TOTAL
0.6476
medium
20)
Level of significance 0.05
no. of treatments,k 3
DF error =N-k= 12
MSE 35.734
q-statistic value(α,k,N-k) 3.7700
population mean difference | critical value | lower limit | upper limit | result | |
µ1-µ2 | -7.00 | 10.08 | -17.08 | 3.08 | means are not different |
µ1-µ3 | -4.00 | 10.08 | -14.08 | 6.08 | means are not different |
µ2-µ3 | 3.00 | 10.08 | -7.08 | 13.08 | means are not different |
NO three means differed statistically from one another
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