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 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 ___ days   Is the sample mean​ normal?   Yes since n is​ > 30

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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

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 ___ days
 
Is the sample mean​ normal?
 
Yes since n is​ > 30
### Complaint Data Analysis

This table displays the number of days between the receipt and resolution of complaints. The data is organized in several rows, with each value representing a specific case. 

Here is the transcribed data:

#### Days Between Complaint and Resolution of Complaint

- **Row 1:** 37, 28, 32, 97, 6
- **Row 2:** 18, 6, 129, 25, 22
- **Row 3:** 2, 125, 33, 46, 21
- **Row 4:** 27, 13, 166, 93, 14
- **Row 5:** 34, 1, 3, 11, 29
- **Row 6:** 130, 59, 13, 22, 69
- **Row 7:** 12, 58, 28, 28, 12
- **Row 8:** 32, 21, 12, 43, 44

This dataset could be used for statistical analysis to understand the average time taken to resolve complaints and identify any potential areas for improvement in process efficiency.
Transcribed Image Text:### Complaint Data Analysis This table displays the number of days between the receipt and resolution of complaints. The data is organized in several rows, with each value representing a specific case. Here is the transcribed data: #### Days Between Complaint and Resolution of Complaint - **Row 1:** 37, 28, 32, 97, 6 - **Row 2:** 18, 6, 129, 25, 22 - **Row 3:** 2, 125, 33, 46, 21 - **Row 4:** 27, 13, 166, 93, 14 - **Row 5:** 34, 1, 3, 11, 29 - **Row 6:** 130, 59, 13, 22, 69 - **Row 7:** 12, 58, 28, 28, 12 - **Row 8:** 32, 21, 12, 43, 44 This dataset could be used for statistical analysis to understand the average time taken to resolve complaints and identify any potential areas for improvement in process efficiency.
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