In: Math
We want to examine the effects of three different diet plans on later weight loss. Three different conditions were created:
Diet A - 5,6,7,4,2
Diet B, 10,6,9,8,5
and No Diet, 2,4,5,3,6
and each condition has 5 subjects.
After two weeks on the diet plan, participants’ weight loss was measured.
Is there a difference in the effectiveness of these diet plans?
8. What is your ?????ℎ??? - ?????ℎ?? = ?????ℎ?? ?????ℎ?? =
9. What is your Fobs?
Fobs = ????????? ?????ℎ?? =
10. Do you reject or fail to reject your null hypothesis? Explain your decision.
11. What is your effect size?
η 2 = ??? ??? =
12. On average, what value is expected for the F-ratio if the null hypothesis is true?
13. An ANOVA is used to evaluate the mean differences among three treatment conditions with a sample of n = 12 participants in each treatment. For this study, what is df total? –
a. 0
b. 1.00
c. Between 0 and 1.00
d. Much greater than 1.00 a. 2 c. 33 b. 11 d. 35
Diet A | Diet B | No Diet | Total | |
Sum | 24 | 38 | 20 | 82 |
Count | 5 | 5 | 5 | 15 |
Mean, Sum/n | 4.8 | 7.6 | 4 | |
Sum of square, Ʃ(xᵢ-x̅)² | 14.8 | 17.2 | 10 |
Null and Alternative Hypothesis:
Ho: µ1 = µ2 = µ3
H1: At least one mean is different.
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 = 35.7333
SS(within) = SS1 + SS2 + SS3 = 42
SS(total) = SS(between) + SS(within) = 77.7333
MS(between) = SS(between)/df(between) = 17.8667
MS(within) = SS(within)/df(within) = 3.5
F = MS(between)/MS(within) = 5.1048
p-value = F.DIST.RT(5.1048, 2, 12) = 0.0249
Decision:
P-value < α, Reject the null hypothesis.
ɳ² = SS(between)/SS(total) = 35.7333/77.7333 = 0.4597
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12. Expected value for the F-ratio if the null hypothesis is true: Between 0 and 1.00
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13. k = 3
n = 12
df(Total) = nk - 1 = 12*3 - 1 = 35