Continue the Springdale Shopping Survey at the end of Chapter/Continue

Published on December 2017 | Categories: Brochures | Downloads: 30 | Comments: 0 | Views: 188
Download PDF   Embed   Report

Continue the Springdale Shopping Survey at the end of Chapter/Continue Click Link Below To Buy: https://hwaid.com/shop/continue-the-springdale-shopping-survey-at-the-end-of-chaptercontinue/ Contact Us: [email protected] Continue the Springdale Shopping Survey at the end of Chapter Continue the Springdale Shopping Survey at the end of Chapter 5 in the Integrated Cases section in Introduction to Business Statistics. You will again need the dataset in the file named SHOPPING that you downloaded from the Premium Web Site in module 1. Write a short report that includes an introduction, a conclusion paragraph and a body which answers fully the two questions posed in the problem. Please include any tables of calculations and graphs associated with this problem in the body. It should be double-spaced and in APA style format. The case in Chapter 2 listed 30 questions asked of 150 respondents in the community of Springdale. The coding key for the responses was also provided in that earlier exercise. The data are in file SHOPPING. In this exercise, some of the estimation techniques presented in the chapter will be applied to the 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 chapter and applied here. 1. 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. a. Determine the point estimate, then construct the 95% confidence interval for µ7 = the average attitude toward Springdale Mall. What is the maximum likely error in the point estimate of the popu-lation mean? b. Repeat part (a) for µ8 and µ9, the average attitudes toward Down town and West Mall, respectively. 2. Given the breakdown of responses for variable 26 (sex of respondent), determine the point estimate, then construct the 95% confidence interval for π26 = the population proportion of males. What is the maximum likely error in the point estimate of the population proportion? 3. Given the breakdown of responses for variable 28 (marital status of respondent), determine the point estimate, then construct the 95% confidence interval for π28 = the population proportion in the “single or other” category. What is the maximum likely error in the point estimate of the population proportion?

Comments

Content

Continue the Springdale Shopping Survey at the end of Chapter/Continue Click Link Below To Buy: https://hwaid.com/shop/continue-the-springdale-shopping-survey-at-the-end-of-chaptercontinue/ Contact Us: [email protected] Continue the Springdale Shopping Survey at the end of Chapter Continue the Springdale Shopping Survey at the end of Chapter 5 in the Integrated Cases section in Introduction to Business Statistics. You will again need the dataset in the file named SHOPPING that you downloaded from the Premium Web Site in module 1. Write a short report that includes an introduction, a conclusion paragraph and a body which answers fully the two questions posed in the problem. Please include any tables of calculations and graphs associated with this problem in the body. It should be double-spaced and in APA style format. The case in Chapter 2 listed 30 questions asked of 150 respondents in the community of Springdale. The coding key for the responses was also provided in that earlier exercise. The data are in file SHOPPING. In this exercise, some of the estimation techniques presented in the chapter will be applied to the 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 chapter and applied here. 1. 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. a. Determine the point estimate, then construct the 95% confidence interval for µ7 = the average attitude toward Springdale Mall. What is the maximum likely error in the point estimate of the popu-lation mean? b. Repeat part (a) for µ8 and µ9, the average attitudes toward Down town and West Mall, respectively. 2. Given the breakdown of responses for variable 26 (sex of respondent), determine the point estimate, then construct the 95% confidence interval for π26 = the population proportion of males. What is the maximum likely error in the point estimate of the population proportion? 3. Given the breakdown of responses for variable 28 (marital status of respondent), determine the point estimate, then construct the 95% confidence interval for π28 = the population proportion in the “single or other” category. What is the maximum likely error in the point estimate of the population proportion?

Sponsor Documents

Or use your account on DocShare.tips

Hide

Forgot your password?

Or register your new account on DocShare.tips

Hide

Lost your password? Please enter your email address. You will receive a link to create a new password.

Back to log-in

Close