In: Statistics and Probability
A researcher is interested in whether or not there is a difference in student’s performance based on the study methods they use. Participants are assigned one of three different study methods (read the text and re-read it, read and answer prepared questions, and read then create your own questions). There are 6 people in each group and the researcher measures the participants’ performance on a test. Perform a hypothesis test and show all four steps. Hints: Use a two tailed test with an alpha of .05.
Read and Reread |
Read and answer prepared questions |
Read, then create your own questions |
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T = 30 n = 6 SS = 24 |
T = 54 n = 6 SS = 34 |
T = 60 n = 6 SS = 30 |
G = 144 ΣX2 = 1324 |
(1) Hypothesis
H0: The means of the three groups are Equal.
Ha: Not all the means are equal.
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(2) We use a One way ANOVA. with df between = 2, and df within = 15
The critical value at = 0.05, is 3.68
The Rejection rule is that if F test is > 3.68, Then Reject H0.
If p value is < 0.05, Then Reject H0.
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(3) The ANOVA Table is Below, showing SS, MS and F
Source | SS | DF | Mean Square | F | Fcv | p |
Between | 84.00 | 2 | 42.00 | 7.16 | 3.682 | 0.0066 |
Within/Error | 88.00 | 15 | 5.87 | |||
Total | 172.00 | 17 |
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(4) Since F test is > F critical, Reject H0
Since p value is < 0.05, Reject H0.
There is sufficient evidence at the 95% level of significance to conclude that the mean of at least one group is different from the others.
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Calculations For the ANOVA Table:
Overall Mean = (144 / 18) = 8
SS treatment = SUM [n* ( Individual Mean - overall mean)2] = 6 * (5 - 8)2 + 6 * (9 - 8)2 + 6 * (10 - 8)2 = 84
df1 = k - 1 = 3 - 1 = 2
MSTR = SS treatment/df1 = 84 / 2 = 42
SS error = SUM (Sum of Squares) = 24 + 34 + 30 = 88
df2 = N - k = 18 - 3 = 15
Therefore MS error = SS error/df2 = 88 / 15 = 5.87
F = MSTR / MSE = 42 / 5.87 = 7.16
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