In: Statistics and Probability
A researcher wanted to see whether there was a difference between dogs, cats and ferrets in the mean number of trials required to train them to touch a target with their nose. The researcher samples 6 dogs, 6 cats and 6 ferrets and trained them to touch a target with their nose. The amount of trials required for each animal is listed in the table below. The overall mean was MTotal = 23.5. Assume that the amount of trials distributes normally in each population and that the assumption of homogeneity of variances is not violated.
Dogs |
Cats |
Ferrets |
12 |
40 |
21 |
25 |
31 |
25 |
20 |
10 |
26 |
22 |
20 |
22 |
18 |
24 |
30 |
26 |
28 |
23 |
M1 = 20.5 |
M2 = 25.5 |
M3 = 24.5 |
a. Conduct the appropriate hypothesis test. Use α=0.05. You must submit your calculations (if you do not submit your calculations, you will lose points). (12 points).
b. Calculate the appropriate effect size measure. You must submit your calculations (if you do not submit your calculations, you will lose points). (4 points).
c. If the researcher had decided not to use the ferrets’ data and only compare dogs and cats, could she still have used the same test? Could she have used another test as well/instead? If so, which test? If she could have used more than one type of test, would she get the same results on both tests? Explain your answer. (4 points).
Solution :
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 = 18
df(between) = k-1 = 2
df(within) = N-k = 15
df(total) = N-1 = 17
SS(between) = (x̅1)²*n1 + (x̅2)²*n2 + (x̅3)²*n3 - (Grand Mean)²*N =84
SS(within) = SS1 + SS2 + SS3 = 704.5
SS(total) = SS(between) + SS(within) = 788.5
MS(between) = SS(between)/df(between) = 42
MS(within) = SS(within)/df(within) = 46.9667
F = MS(between)/MS(within) = 0.8943
p-value = F.DIST.RT(0.8943, 2, 15) = 0.4296
Decision:
P-value > α, Do not reject the null hypothesis.
ANOVA | |||||
Source of Variation | SS | df | MS | F | P-value |
Between Groups | 84 | 2 | 42 | 0.8943 | 0.4296 |
Within Groups | 704.5 | 15 | 46.9667 | ||
Total | 788.5 | 17 |
b)
Effect size: ɳ² = SS(between)/SS(total) = 84/788.5 = 0.1065
c)
Yes, we can perform the same test.
Yes, we could have another test.
Two independent sample t-test is the other test that can be used.
Yes she would get the same result from both test.
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