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Sheet1ManhattanBrooklynQueensThe BronxStaten IslandEducationMarita.docx
- 3. Chapter #: ____________ Directions: Use this form to prepare key points from the text for in-class discussion. Under the analysis sections, include your own thoughts and interpretations, why the quote or key point is important, connections to other parts of the text or your own experiences, etc. Also, be sure to cite any and all essential elements or geographic concepts that apply as you discuss them. Finally, include a key geographic understanding—or takeaway—that you gleaned from the chapter, explaining the connection to the geography and why it resonated with you. Page #: Author Quote or Key Point: Analysis: Page #: Author Quote or Key Point: Analysis: Page #: Author Quote or Key Point:
- 4. Analysis: Chapter Key Geographic Understanding: Option 2: New York Survey Data Instructions A consulting firm was hired to perform a survey on people living in New York City. The survey was completed monthly for six months by 445 randomly-selected people in different boroughs. There were a number of items on the survey, but six basic biographical items will be studied for this exercise. The data for the people surveyed in one of these monthly surveys can be found in the Excel file SURVEY. The variables that were used for the basic biographical data are found on the last page of the exercise. In this exercise, some of the estimation techniques presented in the module will be applied to the New York survey results. You may assume that these respondents represent a simple random sample of all potential respondents within the community, and
- 5. that the population is large enough that application of the finite population correction would not make an appreciable difference in the results. New York City governmental agency personnel like to have point estimates regarding variables describing the biographical information of the people living within the different boroughs. It is very helpful for them to have some idea regarding the likely accuracy of these estimates as well. Therein lies the benefit of the techniques presented in this module and applied here. 1. Item A in the description of the data collection instrument lists variables 1–5, which represent the respondent’s general attitude toward each of the five boroughs. 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, and then construct the 95% confidence interval for = the average attitude toward Manhattan. B. Repeat part (a) for μ2 through μ5, the average attitudes toward Brooklyn, Queens, The Bronx and Staten Island, respectively. 1. Given the breakdown of responses for variable 6 (highest level of education), determine the point estimate, and then construct the 95% confidence interval for p6= the population proportion of doctoral degrees. 2. Given the breakdown of responses for variable 7 (marital status of respondent), determine the point estimate, and then construct the 95% confidence interval for p7 = the population proportion in the “single or other” category. 3. Assume the governmental agencies requested estimates of the mean attitudes towards each borough with a margin of error of 0.05 for each borough. If the governmental agency personnel want to have 95% confidence that the sample mean will fall within this margin of error, how large should the sample sizes be for each borough? Paper Requirements
- 6. Write a report that uses the Written Assignment Requirements under the heading Expectations for CSU-Global Written Assignments found in the CSU-Global Guide to Writing and APA (Links to an external site.)Links to an external site.. Items that should be included, at a minimum, are a title page, an introduction, a body that answers the questions posed in the problem, and a conclusion paragraph that addresses your findings and what you have determined from the data and your analysis. As with all written assignments, you should have in- text citations and a reference page. Please include any tables of calculations, calculated values, and graphs associated with this problem in the body of your assignment response. Note: You must submit your Excel file with your report. This will aid in grading with partial credit if errors are found in the report. A. General Attitude toward Each Borough (Variables 1–5) 1. Manhattan 2. Brooklyn 3. Queens 4. The Bronx 5. Staten Island Like Very Much (5) (5) (5) (5) (5) Like (4) (4)
- 7. (4) (4) (4) Neutral (3) (3) (3) (3) (3) Dislike (2) (2) (2) (2) (2) Dislike Very Much (1) (1) (1) (1) (1) B. Information about the Respondent (Variables 6–7) 1. What is your highest level of education? (1) = Did not complete high school (2) = High school degree/GED (3) = Associate’s degree (4) = Bachelor’s degree (5) = Master’s degree (6) = Doctoral degree Marital Status: (1) = Married, (2) = Single or other Option 1: Springdale Shopping Survey Instructions The major shopping areas in the community of Springdale include Springdale Mall, West Mall, and the downtown area on
- 8. 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. 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. 1. Determine the point estimate, and then construct the 95% confidence interval for μ7 = the average attitude toward Springdale Mall. 2. Repeat part (a) for μ8 and μ9, the average attitudes toward Downtown and West Mall, respectively. 2. 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. 3. Given the breakdown of responses for variable 28 (marital
- 9. 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. 4. 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? Paper Requirements Write a report that uses the Written Assignment Requirements under the heading Expectations for CSU-Global Written Assignments found in theCSU-Global Guide to Writing and APA (Links to an external site.)Links to an external site.. Items that should be included, at a minimum, are a title page, an introduction, a body that answers the questions posed in the problem, and a conclusion paragraph that addresses your findings and what you have determined from the data and your analysis. As with all written assignments, you should have in- text citations and a reference page. Please include any tables of calculations, calculated values, and graphs associated with this problem in the body of your assignment response. Note: You must submit your Excel file with your report. This will aid in grading with partial credit if errors are found in the report. HINTS FOR MODULE 6 ASSIGNMENT- FOR #1: You need the point-estimate, which is the mean. You will also need the standard deviation as you will be calculating confidence intervals. LOWER LIMIT: MEAN - z ( Standard Deviation/ sq rt (N)) UPPER LIMIT: MEAN + z ( Standard Deviation/ sq rt (N))
- 10. For “z” , you use the z-value that corresponds to the level of confidence…. should be 1.96 for 95% confidence intervals and 1.645 for 90%. FOR #2 and #3 You are still finding the same information from above, but using a Population proportion. POINT ESTIMATE (p): Number of Successes/Total Number The point estimate is what gets plugged in for “p” in the formula. LOWER LIMT: p – z * sq rt [ (p(1-p))/n]) UPPER LIMIT: p + z * sq rt [ (p(1-p))/n]) For “z” , you use the z-value that corresponds to the level of confidence…. should be 1.96 for 95% confidence intervals and 1.645 for 90%. QUESTION 4: Sample size This site should help you. Watch the second video under: Sample Size Point Estimate Statistics This video shows two examples on estimating a desired sample size based on predetermined margins of error. https://www.sophia.org/tutorials/finding-sample-size-with- predetermined-margin-of-e--2 The video walks you through the formula where as long as you have the zscore of a 95% confidence interval which is 1.96, the standard deviation, and the margin of error......you can use this formula.
- 13. 22166666666445113111115565345722212046557642311111111 77756675221427556777431413111133776756612212235477753 44131411456744767141325364775434413134145776755613231 92435655311131111477447671142121354777434121141117575 66661321654447675441232211177777775221266555767453123 12112677666661321245346775343111211157777554231432656 67754241211112477436461326203567775421121211377576775 14165954645754312312311777417271223274454554431131111 37777677424212753367744211111111776576772217423465574 51123121214767576623252136566743111321412767776561423 28166677441113111137737777514212845646733311111111677 64647242126465576524113113117777767721123656655643342 31444177777777242153552777345443444131453553514126153 54464334231111211766364142125453555444343143137577747 62215315516773443111141177777666141450344777333144141 41534457742315355367775522221211267757145231270564667 54512211312777657772414222655755331131111377566666222 42554347651431313111667556442321215536765343131331326 75435623242356477543532313333767566571215395367773532 12211123563377613143345376744211311113767545462314371 51466432423213132776141223211851254445433311212777555 57231633655676544413111136776663523222124577654411311 11177767776121265534557555113111117747777424212243577 75421131111257755657221331655777151223223237771117724 17533646664341211414177777665241336344767534121111113 45544651216576664545234141311337776727131333614765353 2232232377457643221644 TempBoxPlot Springdale Shopping Survey* 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
- 14. 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 were as follows: Comment by Phil Karl: Kathy—there is no such file in the folder and there is no hyperlink to this term here. Please advise. A. How Often Respondent Shops at Each Area (Variables 1–3) 1. Springdale Mall 2. Downtown 3. West Mall 6 or more times/wk. (1) (1) (1) 4–5 times/wk. (2) (2) (2) 2–3 times/wk. (3) (3) (3) 1 time/wk. (4) (4) (4) 2–4 times/mo. (5) (5)
- 15. (5) 0–1 times/mo. (6) (6) (6) B. How Much the Respondent Spends during a Trip to Each Area (Variables 4–6) 4. Springdale Mall 5. Downtown 6. West Mall $200 or more (1) (1) (1) $150–under $200 (2) (2) (2) $100–under $150 (3) (3) (3) $ 50–under $100 (4) (4) (4) $ 25–under $50 (5) (5)
- 16. (5) $ 15–under $25 (6) (6) (6) less than $15 (7) (7) (7) C. General Attitude toward Each Shopping Area (Variables 7– 9) 7. Springdale Mall 8. Downtown 9. West Mall Like very much (5) (5) (5) Like (4) (4) (4) Neutral (3) (3) (3) Dislike (2) (2)
- 17. (2) Dislike very much (1) (1) (1) D. Which Shopping Area Best Fits Each Description (Variables 10–17) Springdale Mall Downtown West Mall No Opinion 10. Easy to return/exchange goods (1) (2) (3) (4) 11. High quality of goods (1) (2) (3) (4) 12. Low prices (1) (2)
- 18. (3) (4) 13. Good variety of sizes/styles (1) (2) (3) (4) 14. Sales staff helpful/friendly (1) (2) (3) (4) 15. Convenient shopping hours (1) (2) (3) (4) 16. Clean stores and surroundings (1) (2) (3) (4) 17. A lot of bargain sales (1) (2) (3) (4) E. Importance of Each Item in Respondent’s Choice of a Shopping Area (Variables 18–25) Not Very Important Important
- 19. F. Information about the Respondent (Variables 26–30) 26. Gender: (1) = Male (2) = Female 18. Easy to return/exchange goods (1) (2) (3) (4) (5) (6) (7) 19. High quality of goods (1) (2) (3) (4) (5) (6) (7)
- 20. 20. Low prices (1) (2) (3) (4) (5) (6) (7) 21. Good variety of sizes/styles (1) (2) (3) (4) (5) (6) (7) 22. Sales staff helpful/friendly (1) (2) (3) (4) (5) (6) (7) 23. Convenient shopping hours (1) (2) (3) (4) (5) (6) (7) 24. Clean stores and surroundings (1) (2) (3)
- 21. (4) (5) (6) (7) 25. A lot of bargain sales (1) (2) (3) (4) (5) (6) (7) t 27. Number of years of school completed: (1) = less than 8 years (3) = 12–under 16 years (2) = 8–under 12 years (4) = 16 years or more 28. Marital status: (1) = Married (2) = Single or other 29. Number of people in household: persons 30. Age: years Each respondent in this database is described by 30 variables. As an example of their interpretation, consider row number 1. This corresponds to respondent number 1 and contains the following information. Variable number 6 = 7. The respondent usually spends less than $15 when she shops at West Mall. Variable number 26 = 2. The respondent is a female.
- 22. 5 5 5 6 7 7 4 4 4 1 1 3 1 1 1 1 1 6 7 7 6 5 6 6 7 2 3 2 4 2 1 Variable number 1 = 5. The respondent shops at Spring- dale Mall 2–4 times/month. Variable number 19 = 7. Respondent believes “high quality of goods” is very important in choosing a shopping area. *Source: Materials for this case have been provided courtesy of The Archimedes Group, Indiana, PA. Data are based on actual responses obtained to this subset of the questions included in the survey; town and mall identities have been disguised as well as a number of responses were updated.