Let µ1, µ2, and µ3 be the means of normal distributions with a common but unknown variance. We want to test H0 : µ1 = µ2 = µ3 against Ha : at least two µj are different, by taking random samples of size 4 from each distributions. Let PP x1· = 28, x2· = 46, x3· = 34, and x 2 ij = 1038.
(a) Construct an ANOVA table. (b) Carry out the 5% significance level test. (c) What is the HSD in this problem?
From the given data,
a)
X | n | n*(x - xgrand)² | |
Group1 | 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)
Hypothesis :
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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