One of the major measures of the quality of service provided by any organization is the speed with which t responds to customer complaints. A large family-held department store selling furniture and flooring, including carpet, had undergone a major expansion in the past several years. In particular, the flooring department had expanded from 2 installation crews. The 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 50 complaints that were made in the last year. The data were stored in Furniture and are as follows:
|
54
|
5
|
35
|
137
|
31
|
27
|
152
|
2
|
123
|
81
|
74
|
27
|
|
11
|
19
|
126
|
110
|
110
|
29
|
61
|
35
|
94
|
31
|
26
|
5
|
|
12
|
4
|
165
|
32
|
29
|
28
|
29
|
26
|
25
|
1
|
14
|
13
|
|
13
|
10
|
5
|
27
|
4
|
52
|
30
|
22
|
36
|
26
|
20
|
23
|
|
33
|
68
|
|
|
|
|
|
|
|
|
|
|
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.
b) What assumption must you make about the population distrubiton in order to construct the confidence interval estimate in (a)?
c) Do you think that the assumption needed in order to construct the confidence interval estimate in (a) is valid? Explain
d) What effect might your conclusion in (c) have on the validity of the results in (a)?