A large family-held department store had the business objective of improving its response to complaints. The variable of interest was defined as the number of days between when the complaint was made and when it was resolved. Data were collected from 40 complaints that were made in the last year. Use the data to complete parts (a) through (d) below.
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|
Days Between Complaint and Resolution of Complaint |
|||||
|
41 |
20 |
36 |
82 |
6 |
|
|
14 |
1 |
112 |
27 |
21 |
|
|
5 |
160 |
31 |
35 |
20 |
|
|
28 |
19 |
146 |
90 |
12 |
|
|
39 |
6 |
7 |
19 |
24 |
|
|
156 |
54 |
17 |
26 |
86 |
|
|
15 |
69 |
24 |
29 |
19 |
|
|
33 |
20 |
12 |
48 |
46 | |
a. Construct a 95% confidence interval estimate for the population mean number of days between the receipt of a complaint and the resolution of the complaint.
The statistic software output for this problem is :
One sample T confidence interval:
μ : Mean of variable
95% confidence interval results:
| Variable | Sample Mean | Std. Err. | DF | L. Limit | U. Limit |
|---|---|---|---|---|---|
| Data | 41.375 | 6.4778407 | 39 | 28.27233 | 54.47767 |
(a)
A 95% confidence interval estimate for the population mean number of days between the
receipt of a complaint and the resolution of the complaint is :
(28.27 , 54.48)
A large family-held department store had the business objective of improving its response to complaints. The...