In: Statistics and Probability
Months | Revenue (thousands) |
---|---|
1 |
102.87 |
2 | 107.78 |
3 | 100.78 |
4 | 96.50 |
5 | 97.51 |
6 | 98.26 |
7 | 104.88 |
8 | 103.95 |
9 | 107.00 |
10 | 106.98 |
11 | 106.01 |
12 | 101.70 |
13 | 98.78 |
14 | 98.92 |
15 | 99.08 |
16 | 102.45 |
17 | 95.93 |
18 | 101.46 |
19 | 105.57 |
20 | 103.24 |
21 | 100.59 |
22 | 104.20 |
23 | 99.83 |
24 | 105.93 |
25 | 102.85 |
26 | 102.55 |
27 | 104.91 |
28 | 106.13 |
29 | 95.92 |
30 | 97.51 |
31 | 107.28 |
32 | 95.69 |
33 | 99.50 |
34 | 95.75 |
35 | 96.62 |
36 | 101.17 |
A manager at another store wants to know if an add campaign increased her average monthly revenue above $100 (thousand). She has provided you 36 months of data. She wants to know at the 95% condence level and at the 99% confidence level. She will be even more impressed if you can give the exact p-value and accurately describe what it means. Show how you solved this problem then explain what you did in words in the text box below. For example, is this a two-sided or one sided test? How did you proceed from there? You should label some of the cells with words then put the value next to those words. Heres the data: Month Revenue (thousands) 1 102.87 2 107.28 3 100.78 4 96.50 5 97.51 6 98.26 7 104.88 8 103.95 9 107.00 10 106.98 11 106.01 12 101.70 13 98.78 14 98.92 15 99.08 16 102.45 17 95.93 18 101.46 19 105.57 20 103.24 21 100.59 22 104.20 23 99.83 24 105.93 25 102.85 26 102.55 27 104.91 28 106.13 29 95.92 30 97.51 31 107.28 32 95.69 33 99.50 34 95.76 35 95.62 36 101.17