An analysis of variance experiment produced a portion of the accompanying ANOVA table. (You may find it useful to reference the F table.)
a. Specify the competing hypotheses in order to determine whether some differences exist between the population means.
H0: μA = μB = μC = μD; HA: Not all population means are equal.
H0: μA ≥ μB ≥ μC ≥ μD; HA: Not all population means are equal.
H0: μA ≤ μB ≤ μC ≤ μD; HA: Not all population means are equal.
b. Fill in the missing statistics in the ANOVA table. (Round intermediate calculations to at least 4 decimal places. Round "MS" to 4 decimal places and "F" to 3 decimal places.)
|
c. At the 1% significance level, what is the conclusion to the test?
Do not reject H0; we cannot conclude that some means differ.
Reject H0; we can conclude that some means differ.
Reject H0; we cannot conclude that some means differ.
Do not reject H0; we can conclude that some means differ.
a)
The null and alternative hypothesis is
H0: μA = μB = μC = μD; HA: Not all population means are equal.
b)
ANOVA | |||||
Source of variation | SS | df | MS | F | p-value |
Between groups | 16.94 | 3 | 5.6467 | 4.0443 | 0.0108 |
Within groups | 87.96 | 63 | 1.3962 | ||
Total | 104.9 | 66 |
c)
Level of significance = 0.01
P-value = 0.0108
P-value > 0.01 we fail to reject null hypothesis.
Conclusion: Do not reject H0; we cannot conclude that some means differ.
Get Answers For Free
Most questions answered within 1 hours.