Samples were drawn from three populations. The sample sizes were n1 = 6, n2 = 9, and n3 = 8. The sample means were =1.52, < x 2 >=1.62 , and < x 3 >=1.65. The sample standard deviations were s1 = 0.50, s2 = 0.36, and s3 = 0.48. The grand mean is = 1.604348 . Compute the value of the test statistic F.
popn | sample size (given) | sample mean (given) | sample var (given) | SS = Sample_var*(n-1) | |
1 | 6 | 1.52 | 0.5 | 0.5*(6-1) = | 2.5 |
2 | 9 | 1.62 | 0.36 | 0.36*(9-1) = | 2.88 |
3 | 8 | 1.65 | 0.48 | 0.48*(8-1) = | 3.36 |
k=3
n = 6+9+8 = 23
Xbar = 1.604348 (given)
SS_between =
(6*(1.52-1.604348)^2)+(9*(1.62-1.604348)^2)+(8*(1.65-1.604348)^2) =
0.0616
SS_within = 2.5+2.88+3.36 = 8.7400
SS_total = =0.0616+8.74 = 8.8016
ANOVA table:
source | df | SS | MSS | F |
between | 3-1 | 0.06 | 0.0616/2 | =(0.0616/2)/(8.74/20) |
within | 23-3 | 8.74 | 8.74/20 | |
total | 23-1 | 8.80 | 8.8016/22 |
source | df | SS | MSS | F |
between | 2 | 0.0616 | 0.0308 | 0.0705 |
within | 20 | 8.74 | 0.44 | |
total | 22 | 8.8016 | 0.40 |
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