The following data represent a simple random sample of n = 4 from three populations that are known to be normally distributed. Verify that the F-test statistic is 2.04.
Sample 1 |
Sample 2 |
Sample 3 |
28 |
22 |
25 |
23 |
25 |
24 |
30 |
17 |
19 |
27 |
23 |
30 |
The Data from these 3 samples are as below
Sample 1 | Sample 2 | Sample 3 | |
Mean(x bar) | 27 | 21.75 | 24.5 |
SD | 2.9439 | 3.4034 | 4.5092 |
Variance | 8.6667 | 11.5833 | 20.3333 |
n | 4 | 4 | 4 |
columns | 3 |
The overall mean = (27 + 21.75 + 24.5)/3 = 73.25/3 = 24.4167
SS treatment = SUM n* ( x̅i - overall mean)2 = 4 * (24.4167 - 27)2 + 4 * (24.4167 - 21.75)2 + 4 * (24.4167 - 24.5)2 = 55.17
df1 = k - 1 = 3 - 1 = 2
MSTR = SS treatment/df1 = 55.17 / 2 = 27.58
SSerror = SUM [(n - 1) * Variance] = 3 * 8.6667 + 3 * 11.5833 + 3 * 20.3333 = 121.75
df2 = N - k = 12 - 3 = 9
Therefore MS error = SSerror/df2 = 121.75/9 = 13.53
F = MSTR/MSE = 27.58/13.53 = 2.0384 2.04
The Complete ANOVA table is as below
Source | SS | DF | Mean Square | F |
Between | 55.17 | 2 | 27.58 | 2.04 |
Within/Error | 121.75 | 9 | 13.53 | |
Total | 176.92 | 11 |
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