ANOVA
A shoe retailer conducted a study to determine whether there is a difference in the number of pairs of shoes sold per day by stores according to the number of competitors within a 1-mile radius and the location of the store. The company researchers selected three types of stores for consideration in the study: stand-alone suburban stores, mall stores, and downtown stores. These stores vary in the numbers of competing stores within a 1-mile radius, which have been reduced to four categories: 0 competitors, 1 competitor, 2 competitors, and 3 or more competitors. Suppose the following data represent the number of pairs of shoes sold per day for each of these types of stores with the given number of competitors. Use α = 0.05 and analyze the data.
|
Number of Competitors | |||||
|
0 |
1 |
2 |
3 or more | ||
|
Stand-Alone |
41 |
38 |
59 |
47 | |
|
30 |
31 |
48 |
40 | ||
|
45 |
39 |
51 |
39 | ||
|
Store |
Mall |
25 |
29 |
44 |
43 |
|
Location |
31 |
35 |
48 |
42 | |
|
22 |
30 |
50 |
53 | ||
|
Downtown |
18 |
22 |
29 |
24 | |
|
29 |
17 |
28 |
27 | ||
|
33 |
25 |
26 |
32 | ||
This answer is free. To see it, please login.
![View your cart items []](/sites/all/modules/basics/ecommerce/cart/images/cart_full.png)