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Colorado State University Global Springdale Shopping Survey Analysis
The major shopping areas in the community of Springdale include Springdale Mall, West Mall, and the downtown area on Main ...
Colorado State University Global Springdale Shopping Survey Analysis
The major shopping areas in the community of Springdale include Springdale Mall, West Mall, and the downtown area on Main Street. A telephone survey has been conducted to identify strengths and weaknesses of these areas and to find out how they fit into the shopping activities of local residents. The 150 respondents were also asked to provide information about themselves and their shopping habits. The data are provided in the file SHOPPING. The variables in the survey can be found in the file CODING.
In this exercise, some of the estimation techniques presented in the module will be applied to the Springfield Shopping survey results. You may assume that these respondents represent a simple random sample of all potential respondents within the community, and that the population is large enough that application of the finite population correction would not make an appreciable difference in the results.
Managers associated with shopping areas like these find it useful to have point estimates regarding variables describing the characteristics and behaviors of their customers. In addition, it is helpful for them to have some idea as to the likely accuracy of these estimates. Therein lies the benefit of the techniques presented in this module and applied here.
Item C in the description of the data collection instrument lists variables 7, 8, and 9, which represent the respondent’s general attitude toward each of the three shopping areas. Each of these variables has numerically equal distances between the possible responses, and for purposes of analysis they may be considered to be of the interval scale of measurement.
Determine the point estimate, and then construct the 95% confidence interval for µ7 = the average attitude toward Springdale Mall.
Repeat part (a) for µ8 and µ9, the average attitudes toward Downtown and West Mall, respectively.
Given the breakdown of responses for variable 26 (sex of respondent), determine the point estimate, and then construct the 95% confidence interval for p26 = the population proportion of males.
Given the breakdown of responses for variable 28 (marital status of respondent), determine the point estimate, and then construct the 95% confidence interval for p28 = the population proportion in the “single or other” category.
Assume the managers have requested estimates of the mean attitudes towards each mall with a margin of error of 0.05 for each. If the managers want to have 95% confidence that the sample mean will fall within this margin of error, how large should the sample size be for each mall?
University of the Cumberlands Inferential Statistics in Decision Making Problem
Janice is a production manager for a company that designs and produces hydraulic valves that are used in aircraft systems. ...
University of the Cumberlands Inferential Statistics in Decision Making Problem
Janice is a production manager for a company that designs and produces hydraulic valves that are used in aircraft systems. The company is concerned that the number of valves not meeting the strict measurement parameters has incereased over the past several months. She implements a quality control program that includes random inspections. Employees are notified that these inspections will help the company to reduce expenses from poor product quality. Janice runs the program for 9 months and performs a different number of inspection each month. The table below shows the number of inspections and the number of faulty hydraulic valves produced each month.
InspectionsNumber of faulty valves6541196477985313766
Run the analysis and answer the following questions:
1. Does the number of inspections result in fewer faulty valves? (Run the analysis and report the results)
2. What decision should Janice make regarding the quality control inspections?
3 pages
Comparison Shopping
Choose a product or service that you would like to purchase for your office or yourself: Economics Book Search the interne ...
Comparison Shopping
Choose a product or service that you would like to purchase for your office or yourself: Economics Book Search the internet to find three providers ...
10 pages
Stat.edited
Agency leadership is interested in analyzing the engine sizes of this sample of 750 vehicles. (Use the mean and standard d ...
Stat.edited
Agency leadership is interested in analyzing the engine sizes of this sample of 750 vehicles. (Use the mean and standard deviation of the Engine Size ...
4 pages
Mat 240.edited
Median Housing Price Prediction Model for D.M. Pan Real Estate Company Median Housing Price Prediction Model for D.M. Pan ...
Mat 240.edited
Median Housing Price Prediction Model for D.M. Pan Real Estate Company Median Housing Price Prediction Model for D.M. Pan Real Estate Company
Business statistics Bethel Unit 3 WK3 Hypothesis Test for the Proportion HW
here are 3 problems with 4 documents that are copy and paste Only one document I need back and that is the Word Document W ...
Business statistics Bethel Unit 3 WK3 Hypothesis Test for the Proportion HW
here are 3 problems with 4 documents that are copy and paste Only one document I need back and that is the Word Document Week 2. Everything must be in own words. All the files are there the ONLY one I NEED back is the first file.
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Colorado State University Global Springdale Shopping Survey Analysis
The major shopping areas in the community of Springdale include Springdale Mall, West Mall, and the downtown area on Main ...
Colorado State University Global Springdale Shopping Survey Analysis
The major shopping areas in the community of Springdale include Springdale Mall, West Mall, and the downtown area on Main Street. A telephone survey has been conducted to identify strengths and weaknesses of these areas and to find out how they fit into the shopping activities of local residents. The 150 respondents were also asked to provide information about themselves and their shopping habits. The data are provided in the file SHOPPING. The variables in the survey can be found in the file CODING.
In this exercise, some of the estimation techniques presented in the module will be applied to the Springfield Shopping survey results. You may assume that these respondents represent a simple random sample of all potential respondents within the community, and that the population is large enough that application of the finite population correction would not make an appreciable difference in the results.
Managers associated with shopping areas like these find it useful to have point estimates regarding variables describing the characteristics and behaviors of their customers. In addition, it is helpful for them to have some idea as to the likely accuracy of these estimates. Therein lies the benefit of the techniques presented in this module and applied here.
Item C in the description of the data collection instrument lists variables 7, 8, and 9, which represent the respondent’s general attitude toward each of the three shopping areas. Each of these variables has numerically equal distances between the possible responses, and for purposes of analysis they may be considered to be of the interval scale of measurement.
Determine the point estimate, and then construct the 95% confidence interval for µ7 = the average attitude toward Springdale Mall.
Repeat part (a) for µ8 and µ9, the average attitudes toward Downtown and West Mall, respectively.
Given the breakdown of responses for variable 26 (sex of respondent), determine the point estimate, and then construct the 95% confidence interval for p26 = the population proportion of males.
Given the breakdown of responses for variable 28 (marital status of respondent), determine the point estimate, and then construct the 95% confidence interval for p28 = the population proportion in the “single or other” category.
Assume the managers have requested estimates of the mean attitudes towards each mall with a margin of error of 0.05 for each. If the managers want to have 95% confidence that the sample mean will fall within this margin of error, how large should the sample size be for each mall?
University of the Cumberlands Inferential Statistics in Decision Making Problem
Janice is a production manager for a company that designs and produces hydraulic valves that are used in aircraft systems. ...
University of the Cumberlands Inferential Statistics in Decision Making Problem
Janice is a production manager for a company that designs and produces hydraulic valves that are used in aircraft systems. The company is concerned that the number of valves not meeting the strict measurement parameters has incereased over the past several months. She implements a quality control program that includes random inspections. Employees are notified that these inspections will help the company to reduce expenses from poor product quality. Janice runs the program for 9 months and performs a different number of inspection each month. The table below shows the number of inspections and the number of faulty hydraulic valves produced each month.
InspectionsNumber of faulty valves6541196477985313766
Run the analysis and answer the following questions:
1. Does the number of inspections result in fewer faulty valves? (Run the analysis and report the results)
2. What decision should Janice make regarding the quality control inspections?
3 pages
Comparison Shopping
Choose a product or service that you would like to purchase for your office or yourself: Economics Book Search the interne ...
Comparison Shopping
Choose a product or service that you would like to purchase for your office or yourself: Economics Book Search the internet to find three providers ...
10 pages
Stat.edited
Agency leadership is interested in analyzing the engine sizes of this sample of 750 vehicles. (Use the mean and standard d ...
Stat.edited
Agency leadership is interested in analyzing the engine sizes of this sample of 750 vehicles. (Use the mean and standard deviation of the Engine Size ...
4 pages
Mat 240.edited
Median Housing Price Prediction Model for D.M. Pan Real Estate Company Median Housing Price Prediction Model for D.M. Pan ...
Mat 240.edited
Median Housing Price Prediction Model for D.M. Pan Real Estate Company Median Housing Price Prediction Model for D.M. Pan Real Estate Company
Business statistics Bethel Unit 3 WK3 Hypothesis Test for the Proportion HW
here are 3 problems with 4 documents that are copy and paste Only one document I need back and that is the Word Document W ...
Business statistics Bethel Unit 3 WK3 Hypothesis Test for the Proportion HW
here are 3 problems with 4 documents that are copy and paste Only one document I need back and that is the Word Document Week 2. Everything must be in own words. All the files are there the ONLY one I NEED back is the first file.
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