A company manufactures printers and fax machines at plants located in Atlanta, Dallas, and Seattle. To measure how much employees at these plants know about quality management, a random sample of 6 employees was selected from each plant and the employees selected were given a quality awareness examination. The examination scores for these 18 employees are shown in the following table. The sample means, sample variances, and sample standard deviations for each group are also provided. Managers want to use these data to test the hypothesis that the mean examination score is the same for all three plants.
Plant 1 Atlanta |
Plant 2 Dallas |
Plant 3 Seattle |
|
---|---|---|---|
86 | 70 | 58 | |
74 | 74 | 65 | |
83 | 73 | 63 | |
76 | 75 | 69 | |
70 | 69 | 74 | |
79 | 89 | 67 | |
Sample mean |
78 | 75 | 66 |
Sample variance |
34.8 | 52.4 | 29.6 |
Sample standard deviation |
5.90 | 7.24 | 5.44 |
Set up the ANOVA table for these data. (Round your values for MSE and F to two decimal places, and your p-value to four decimal places.)
Source of Variation |
Sum of Squares |
Degrees of Freedom |
Mean Square |
F | p-value |
---|---|---|---|---|---|
Treatments | |||||
Error | |||||
Total |
Ans:
df(treatments)=3-1=2
df(error)=18-3=15
Source | Sum | Degrees | Mean | F | p-value |
of Variation | of Squares | of Freedom | Square | ||
Treatments | 468 | 2 | 234 | 6.01 | 0.0121 |
Error | 584 | 15 | 38.93 | ||
Total | 1052 | 17 |
Test statistic:
F=234/38.93=6.01
p-value=FDIST(6.01,2,15)=0.0121
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