In: Statistics and Probability
a shop sells three shoe brands. The shop owner wanted to find out if there were differences in sales levels of the three shoe brands. Therefore the store owner issued a monthly record of sales of the three shoe brands. With an error rate of 0.05, test whether there are differences in sales of the three shoe brands?
Month |
I |
II |
III |
IV |
V |
VI |
VII |
Brand A |
78 |
64 |
75 |
45 |
82 |
69 |
60 |
Brand B |
110 |
70 |
53 |
51 |
61 |
68 |
|
Brand C |
90 |
68 |
70 |
54 |
74 |
65 |
59 |
Here, we are to test
: there is no difference in the mean sales value of the 3 shoe
brands, versus,
: the mean sales value of at least one of the 3 shoe brands is
different. We are to carry out a one-way Anova (Single Factor) test
for this purpose.
For Brand A,
= 7,
= 67.57,
= 158.95.
For Brand B,
= 6,
= 68.83,
= 465.37.
For Brand C,
= 7,
= 68.57,
= 134.62.
Also, overall mean = 68.30 =
.
Since the test statistic value is less than the critical value, we
fail to reject the null hypothesis
. We conclude that there is not enough evidence to suggest that
there are differences in sales of the three shoe brands.