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 partsConstruct 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 AnalysisThis 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, 44This 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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Description: 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 fro

The data set is: 37 18 2 27 34 130 12 32 28 6 125 13 1 59 58 21…

Answered: A large family-held department store…

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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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.

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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