Recognize that the null hypothesis in ANOVA sets all means equal to each other, and the alternative hypothesis suggest that at least one mean is different.
The group degrees of freedom is number of levels (categories) minus 1 (k−1=5−1=4
k−1=5−1=4) and the error degrees of freedom is the sample size minus the number of levels (n−k=45−5=40
n−k=45−5=40).
H0: μ1=μ2=...=μk
HA: at least one mean is different
p-value of the test is 0.0168
The p-value is low so we reject the null hypothesis.
The conclusion of the test is that at least two group means are significantly different from each other.
"K=k(k\u22121)2.\nK=(5\u22124)\/2, \u03b1\u2217=0.05\/10=0.005"
answer: E. 0.005
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