μ1, μ2, and μ3 are the means of normal distributions with an equal but unknown variance. Our goal is to test H0: μ1 = μ2 = μ3 vs Ha: at least two μj are different, by taking random samples of size 4 from each distributions. Let x1 = 28, x2 = 46, x3 = 34, and ??x2ij =1038
(a) Construct an ANOVA table.
(b) Carry out the 5% significance level test.
(c) What is the HSD in this problem?
(a)
x | n | n*(x - xgrand)² | |||
Group 1 | 28 | 4 | 256 | ||
Group 2 | 46 | 4 | 400 | ||
Group 3 | 34 | 4 | 16 | ||
xgrand | 36 | ||||
Sum | |||||
672 | |||||
Source | SS | df | MS | F | p-value |
Between | 672 | 2 | 336 | 8.262295 | 0.009179 |
Error | 366 | 9 | 40.66667 | ||
Total | 1038 | 11 |
(b) The hypothesis being tested is:
H0: µ1 = µ2 = µ3
Ha: Not all means are equal
The p-value is 0.009179.
Since the p-value (0.009179) is less than the significance level (0.05), we can reject the null hypothesis.
Therefore, we can conclude that not all means are equal.
(c) HSD = 2.26*40.66667/4 = 7.21
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