Random samples of employees from three different departments of MNM Corporation showed the following yearly incomes (in $1,000).
Department A |
Department B |
Department C |
40 |
46 |
46 |
37 |
41 |
40 |
43 |
43 |
41 |
41 |
33 |
48 |
35 |
41 |
39 |
38 |
42 |
44 |
Anova: Single factor
SUMMARY |
||||||
Groups |
Count |
Sum |
Average |
Variance |
||
Department A |
6 |
234 |
39 |
8.4 |
||
Department B |
6 |
246 |
41 |
18.8 |
||
Department C |
6 |
258 |
43 |
12.8 |
||
ANOVA |
||||||
Source of Variation |
SS |
df |
MS |
F |
P-value |
F crit |
Between Groups |
48 |
2 |
24 |
1.8 |
0.20 |
3.68 |
Within Groups |
200 |
15 |
13.33 |
|||
Total |
248 |
17 |
a.State the null and alternative hypotheses.
b.What is the test statistic from the ANOVA table?
c.With ? = 0.05, what is the critical value?
d.At ? = .05, test to determine if there is a significant difference among the average incomes of the employees from the three departments. Use the critical value approach. Write out the decision rule.
a)null hypothesis:Ho: average incomes of the employees from the three departments are equal.
alternate hypotheiss: Ha: not all three departments have equal average incomes of the employees
b)
test statistic from ANOVA table F =1.8
c)
critical value F=3.68
d)
deicision rule:reject Ho if test statistic F >3.68
as test statistic is not in critical region we can nnot reject null hypothesis
we do not have suffcient evidence to conclude that there is a significant difference among the average incomes of the employees from the three departments.
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