In: Statistics and Probability
Roberta wants to compare productivity, as measured by the number of customers served, among three workers. The number of customers served by each worker is shown below.
Edward |
Cathy |
Brad |
55 |
66 |
55 |
59 |
76 |
51 |
66 |
67 |
46 |
60 |
71 |
48 |
Here we have data:
Edward | Cathy | Brad |
55 | 66 | 55 |
59 | 76 | 51 |
66 | 67 | 46 |
60 | 71 | 48 |
Here we are using excel for calculation:
Anova: Single Factor | ||||||
SUMMARY | ||||||
Groups | Count | Sum | Average | Variance | ||
55 | 3 | 185 | 61.6667 | 14.3333 | ||
66 | 3 | 214 | 71.3333 | 20.3333 | ||
55 | 3 | 145 | 48.3333 | 6.3333 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 800.2222 | 2 | 400.1111 | 29.2764 | 0.0008 | 10.9248 |
Within Groups | 82 | 6 | 13.6667 | |||
Total | 882.2222 | 8 |
Hypothesis:
Ho; μ1 = μ2 = μ3
Ha; At least one mean is difference from others.
Test statistics:
F = 29.2764
P-value = 0.0008
Critical value:
Fc = 10.9248
Reject the null hypothesis
Here we have sufficient evidence to reject the null hypothesis , F-observed value (29.2764) is greater than F-critical value (10.9248) and p-value (0.0008) is less than alpha value (0.01).
We can say that there is a difference in the number of customers served.