In: Statistics and Probability
There are two toy shops in Chicago, in East Street and West Street. The mean monthly sales at East and West are equal, however the manager at the East Street believes his sales are more consistent. With the 0.01 significance level, can we conclude that his statement is true?
Below is the number of toys sold at East Street in the last seven months and for the last eight months at West Street :
East Street
98
78
54
57
68
64
70
West Street
75
81
81
30
82
46
58
101
East Street (x) | x2 | |
98 | 9604 | |
78 | 6084 | |
54 | 2916 | |
57 | 3249 | |
68 | 4624 | |
64 | 4096 | |
70 | 4900 | |
Total | 489 | 35473 |
Here
n = 7
West Street(y) | y2 | |
75 | 5625 | |
81 | 6561 | |
81 | 6561 | |
30 | 900 | |
82 | 6724 | |
46 | 2116 | |
58 | 3364 | |
101 | 10201 | |
Total | 554 | 42052 |
Here
n = 8
The coefficient of variation (CV) is a measure of relative variability. It is the ratio of the standard deviation to the mean (average).
The data having lower coefficient of variation is more consistent and vice - versa.
The coefficient of variation for East Street (x) has lower than the coefficient of variation for west street (y).
So, it is conclude that his sales at the East Street are more consistent.