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.