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. Click the icon to view the data table. a. Construct a 99% confidence interval estimate for the population mean number of days between the receipt of a complaint and the resolution of the complaint. days to days. The 99% confidence interval estimate is from (Round to one decimal place as needed.) Complaint Data Days Between Complaint and Resolution of Complaint 32 32 89 29 4 12 129 23 111 40 47 13 141 85 3 2 56 18 65 20 29 13 9 26 45 136 19 39 Print 17 20 26 42 Done 5 21 23 12 20 95 14 41 D - X
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. Click the icon to view the data table. a. Construct a 99% confidence interval estimate for the population mean number of days between the receipt of a complaint and the resolution of the complaint. days to days. The 99% confidence interval estimate is from (Round to one decimal place as needed.) Complaint Data Days Between Complaint and Resolution of Complaint 32 32 89 29 4 12 129 23 111 40 47 13 141 85 3 2 56 18 65 20 29 13 9 26 45 136 19 39 Print 17 20 26 42 Done 5 21 23 12 20 95 14 41 D - X
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
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
Transcribed Image Text: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.
Click the icon to view the data table.
a. Construct a 99% confidence interval estimate for the population mean number of days between the receipt of a complaint and the resolution of the complaint.
The 99% confidence interval estimate is from days to
(Round to one decimal place as needed.)
Complaint Data
days.
Days Between Complaint and Resolution of Complaint
32
29
32
89
12
4
129
23
9
111
40
26
13
141
45
3
2
136
56
18
19
65
20
39
29
13
Print
47
85
17
20
26
42
Done
5
21
23
12
20
95
14
41
C
- X
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