In: Statistics and Probability
A social psychologist is interested in how optimism is related
to life satisfaction. A sample of individuals categorized as
optimistic were asked about past, present, and projected future
satisfaction with their lives. Higher scores on the life
satisfaction measure indicate more satisfaction. Below are the
data. What can the psychologist conclude with α = 0.05?
past | present | future |
22 24 27 26 28 |
27 28 29 30 30 |
21 27 26 28 29 |
a) What is the appropriate test statistic?
(na, one-way ANOVA ,within-subjects ANOVA, two-way
ANOVA)
b) Compute the appropriate test statistic(s) to
make a decision about H0.
critical value = ; test statistic
=
Decision: ( Reject H0 or Fail to reject H0 )
c) Compute the corresponding effect size(s) and
indicate magnitude(s).
η2 = ; -(na, trivial effect
,small effect, medium effect, large effect)
e) Conduct Tukey's Post Hoc Test for the following
comparisons:
1 vs. 2: difference =
1 vs. 3: difference =
f) Conduct Scheffe's Post Hoc Test for the
following comparisons:
1 vs. 3: test statistic =
2 vs. 3: test statistic =
a) appropriate test statistic : one-way ANOVA
--------
b)
past | present | future | Total | |
Sum | 127 | 144 | 131 | 402 |
Count | 5 | 5 | 5 | 15 |
Mean, Sum/n | 25.4 | 28.8 | 26.2 | |
Sum of square, Ʃ(xᵢ-x̅)² | 23.2 | 6.8 | 38.8 |
Number of treatment, k = 3
Total sample Size, N = 15
df(between) = k-1 = 2
df(within) = N-k = 12
df(total) = N-1 = 14
SS(between) = (Sum1)²/n1 + (Sum2)²/n2 + (Sum3)²/n3 - (Grand Sum)²/ N = 31.6
SS(within) = SS1 + SS2 + SS3 = 68.8
SS(total) = SS(between) + SS(within) = 100.4
MS(between) = SS(between)/df(between) = 15.8
MS(within) = SS(within)/df(within) = 5.7333
F = MS(between)/MS(within) = 2.7558
Critical value Fc = F.INV.RT(0.05, 2, 12) = 3.8853
Decision:
Fail to reject the null hypothesis.
---------------
c) Eta, ɳ² = SS(between)/SS(total) = 31.6/100.4 = 0.3147
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d) At α = 0.05, k = 3, N-K = 12, Q value = 3.78
HSD = Q*√(MSW/n) = 3.78*√(5.7333/5) = 4.05
Comparison | Diff. = (xi - xj) | HSD | Results |
x̅1-x̅2 | -3.4 | 4.05 | Means are not different |
x̅1-x̅3 | -0.8 | 4.05 | Means are not different |
---------------
e) 1 vs 3 test statistic:
F' = (x̅1 - x̅3)²/(MSW*(1/n1 + 1/n3)) = (25.4 - 26.2)²/(5.7333*(1/5 + 1/5)) = 0.279
2 vs 3 test statistic:
F' = (x̅2 - x̅3)²/(MSW*(1/n2 + 1/n3)) = (28.8 - 26.2)²/(5.7333*(1/5 + 1/5)) = 2.948