The statistics on test scores for 4 groups are given below.. Test the hypothesis that the means for each group are equal. Use a .01 significance level
fresh |
soph |
jr. |
sr |
|
mean |
88 |
90 |
78 |
92 |
var |
120 |
150 |
200 |
250 |
n |
9 |
9 |
9 |
9 |
NB: Please i will like it to be cleared for someone who is learning it by herself . I saw similar answer online but i cant figure out how they come about the (Sum of Sq, DF, Mean Square, & F for the Source, Between and within) Pls i need what and what number they use to get each figure.
Thanks
from above:
ni | x̅i | S2i | ni*(Xi-Xgrand)2 | (ni-1)*S2i | |
Fresh | 9 | 88.000 | 120.000 | 9.000 | 960.00 |
Soph | 9 | 90.000 | 150.000 | 81.000 | 1200.00 |
Jr. | 9 | 78.000 | 200.000 | 729.000 | 1600.00 |
Sr. | 9 | 92.000 | 250.000 | 225.000 | 2000.00 |
grand mean= | 87.000 | 1044.000 | 5760.00 | ||
SSTr | SSE | ||||
as MS=SS/df and F=MS(treatment)/MS(error) |
|||||
Source of variation | SS | df | MS | F | |
between | 1044.00 | 3 | 348.00 | 1.933 | |
within | 5760.00 | 32 | 180.00 | ||
total | 6804.00 | 35 |
for 0.01 level and (3,32) df ; crtiical value =4.46
for test statsistic 1.933 is not higher then crtiical value we fail to reject null hypothesis
we do not have evidence to conclude at 0.01 level to conclude that means for each group are unequal.
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