In: Statistics and Probability
4) Finally, you wish to determine if the mean monthly sales of the shirt in the superstores that comprise part of the chain in four regions of the country that you have defined differ from each other. Random samples of the sales of the item in stores chosen from each region are selected. The sample data comprising these sales figures is shown in appendix four below. At the 1% level of significance, are there any differences in the mean monthly sales of the item in the populations of superstores in the four regions of the country? If you do observe that there are differences in the mean monthly sales of the shirt, perform the necessary additional test to ascertain which pairs of stores exhibit different mean sales at the 1% level of significance. Perform the appropriate test to show whether the desired property of homogeneity of variances exists for this study, also at the 1% level of significance
Region
Store One Two Three Four
1 459 282 545 490
2 490 355 588 402
3 421 348 496 397
4 500 389 439 440
5 489 276 476 501
6 540 430 510 375
7 555 387 519 398
8 421 411 483 490
9 489 443 311 355
10 551 477 390 439
11 490 398 430 503
12 401 375 275 622
Q.01,4, 44 = 4.68
One-way ANOVA: Sales versus Store
Source | DF | SS | MS | F | P |
Store | 3 | 68801 | 22934 | 4.53 | 0.007 |
Error | 44 | 222800 | 5064 | ||
Total | 47 | 291601 |
Comment: The estimated p-value is 0.007 and less than 0.01 significance level. hence, at the 1% level of significance, there are at least two regions of the country has significant mean monthly sales of the item in the populations.
From both the test statistics, the p-values are more than 0.01 significance level. Hence, we can conclude that the desired property of homogeneity of variances exists for this study.