2) The manager of the cosmetics section of a large department store wants to determine whether newspaper advertising really does affect sales. For her experiment, she randomly selects 15 items currently in stock and proceeds to establish a baseline. The 15 items are priced at their usual competitive values, and the quantity of each item sold for a 1-week period is recorded. Then, without changing their price, she places a large ad in the newspaper, advertising the 15 items. She records the quantity sold for a 1-week period. The results are as follow: Item No. of Sold Before Ad No. of Sold After Ad 25 32 18 24 3 4 42 40 16 19 6. 20 25 7. 23 23 32 35 60 65 10 40 43 11 27 28 12 11 13 13 12 14 23 32 15 16 28 Using a - 0.052 tail, what can you conclude?

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2) The manager of the cosmetics section of a large department store wants to determine whether newspaper advertising really does affect
sales. For her experiment, she randomly selects 15 items currently in stock and proceeds to establish a baseline. The 15 items are priced at
their usual competitive values, and the quantity of each item sold for a 1-week period is recorded. Then, without changing their price, she
places a large ad in the newspaper, advertising the 15 items. She records the quantity sold for a 1-week period. The results are as follow:
Item
No. of Sold Before Ad
No. of Sold After Ad
1.
25
32
18
24
3
7
4
42
40
16
19
6.
20
25
7
23
23
32
35
60
65
10
40
43
11
27
28
12
7
11
13
13
12
14
23
32
15
16
28
Using a - 0.052 tail , what can you conclude?
Transcribed Image Text:2) The manager of the cosmetics section of a large department store wants to determine whether newspaper advertising really does affect sales. For her experiment, she randomly selects 15 items currently in stock and proceeds to establish a baseline. The 15 items are priced at their usual competitive values, and the quantity of each item sold for a 1-week period is recorded. Then, without changing their price, she places a large ad in the newspaper, advertising the 15 items. She records the quantity sold for a 1-week period. The results are as follow: Item No. of Sold Before Ad No. of Sold After Ad 1. 25 32 18 24 3 7 4 42 40 16 19 6. 20 25 7 23 23 32 35 60 65 10 40 43 11 27 28 12 7 11 13 13 12 14 23 32 15 16 28 Using a - 0.052 tail , what can you conclude?
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