Q1. The quantitative reasoning scores on the GRE were recorded for students admitted to three different graduate programs as below.
(a): Construct an ANOVA table for the data using Completely Randomized Design?
(b): If you find a significant difference in the average scores for the three programs, Use Tukey’smethod for paired comparisons to determine which means differ significantly. Use α = .05.
Life |
Physical |
Social |
630 |
660 |
440 |
640 |
640 |
330 |
470 |
720 |
670 |
600 |
690 |
570 |
580 |
530 |
590 |
660 |
760 |
540 |
660 |
670 |
4 50 |
480 |
700 |
570 |
650 |
710 |
530 |
710 |
450 |
630 |
Life | Physical | Social | Total | |
Sum | 6080 | 6530 | 5320 | 17930 |
Count | 10 | 10 | 10 | 30 |
Mean, Sum/n | 608 | 653 | 532 | |
Sum of square, Ʃ(xᵢ-x̅)² | 55360 | 79610 | 90960 |
a) Null and Alternative Hypothesis:
Ho: µ1 = µ2 = µ3
H1: At least one mean is different.
Number of treatment, k = 3
Total sample Size, N = 30
df(between) = k-1 = 2
df(within) = N-k = 27
df(total) = N-1 = 29
SS(between) = (Sum1)²/n1 + (Sum2)²/n2 + (Sum3)²/n3 - (Grand Sum)²/ N = 74806.6667
SS(within) = SS1 + SS2 + SS3 = 225930
SS(total) = SS(between) + SS(within) = 300736.6667
MS(between) = SS(between)/df(between) = 37403.3333
MS(within) = SS(within)/df(within) = 8367.7778
F = MS(between)/MS(within) = 4.4699
p-value = F.DIST.RT(4.4699, 2, 27) = 0.0210
Decision:
P-value < α, Reject the null hypothesis.
ANOVA | |||||
Source of Variation | SS | df | MS | F | P-value |
Between Groups | 74806.6667 | 2 | 37403.3333 | 4.4699 | 0.0210 |
Within Groups | 225930.0000 | 27 | 8367.7778 | ||
Total | 300736.6667 | 29 |
b) At α = 0.05, k = 3, N-K = 27, Q value = 3.51
HSD = 3.51*√(8367.7778/10) = 101.5342
Comparison | Diff. = (xi - xj) | HSD | Results |
x̅1-x̅2 | -45 | 101.5342 | Means are not different |
x̅1-x̅3 | 76 | 101.5342 | Means are not different |
x̅2-x̅3 | 121 | 101.5342 | Means are different |
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