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InstructionsA 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 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.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.Determine the point estimate, and then construct the 95% confidence interval for μ1 = the average attitude toward Manhattan.Repeat part (a) for μ2 through μ5, the average attitudes toward Brooklyn, Queens, The Bronx and Staten Island, respectively.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.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.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 RequirementsWrite 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.). 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.Manhattan2.Brooklyn3.Queens4.The Bronx5.Staten IslandLike Very Much(5)(5)(5)(5)(5)Like(4)(4)(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)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 degreeMarital Status: (1) = Married, (2) = Single or other

In this project you will chose a data set that interests you and investigate a possible association between two variables within that data set. This project will give you an opportunity to use StatCrunch to apply the skills and techniques you have learned in this class and to produce a professional report. To produce a successful project you must:Read and follow the instructions carefully.Give yourself sufficient time to work on the project.Write clearly, using appropriate statistical terminology and correct mathematical notation. College-level writing is expected, as is the use of proper grammar.Use StatCrunch to complete all calculations and graphs.Create original work. The following link describes, in detail, plagiarism, fair use and HCC’s academic policy: Fair Use and Academic Honesty (Links to an external site.) Furthermore, this means that students who are repeating the course are expected to create an entirely new project using two new variables of interest.Submit a professional report that is typed and formatted and organized wellSubmit your project via Canvas as a PDF or Word file.PROJECT INSTRUCTIONSFor this project you are going to choose one data set from the list below that you find interesting and investigate an association between two variables within that data set. You will then examine the data and write a two page report. In your report you should:Introduce the data set and explain why you chose it.Describe the variables you chose and thoroughly explain what you are investigating. Be sure to define which variable is the explanatory variable and which is the response variable.Using StatCrunch, create an appropriate graph for the association you are investigating and calculate the correlation coefficient and the linear model. Be sure your graph is appropriately labeled and that it includes a title and then copy it into your paper.Report the correlation coefficient.Describe the association you are investigating using correct statistical terminology. Reference your graph and the correlation coefficient, and be sure to note any possible outliers.Report the linear model using correct notation.Interpret the slope and vertical intercept of your model, and discuss the appropriateness of your model.Summarize your findings and draw a conclusion.DATA SETSBelow is a list of data sets - choose one for your project. The links will not work directly, so please follow these directions: In Canvas, click on MyLab and Mastering --> Open My Lab and Mastering --> StatCrunch (on the left) --> Visit the StatCrunch Website --> Open StatCrunch (yellow button at top of page, it will auto login)Then copy/paste a URL below into either the current tab or a new tabTo save your data and work, go to the Data tab and choose SaveTo Re-open your saved file, click on MyLab and Mastering --> Open My Lab and Mastering --> StatCrunch (on the left) --> Visit the StatCrunch Website -->MyStatCrunch (on the right side)-->My DataMarriage vs. the Economy: https://www.statcrunch.com/app/index.php?dataid=28... This data set compares the number of marriages in the last 30 years to several factors of the economy. COMPLETION CHECKLISTUse the following checklist when proofreading your project.For each aspect below, an excellent report will: IntroductionGive the name of the data set chosen as well as some details describing the data set. (This may require following links or referencing the text)Include a clear justification for why the data set was chosen.Involve two quantitative variables.Clearly and thoroughly describe the variables chosen. (This may require following links or referencing the text)Clearly and correctly assign explanatory and response variables.Thoroughly explain the association being investigated and give a logical justification for why the author believes the association exists.GraphInclude an appropriate scatterplot generated using StatCrunch.Accurately assign and clearly label the axes for the scatterplot.Include an appropriate title for the scatterplot. Include the appropriate correlation coefficient for the association generated using StatCrunch.Include an accurate and thorough description of the association with reference to the graph, correlation coefficient and any outliers. Linear Association ModelInclude an appropriate linear regression model generated using StatCrunch and written using correct notation and typesetting.Give an accurate and detailed interpretation of the slope of the linear regression model.Give an accurate and detailed interpretation of the y-intercept of the linear regression model.Thoroughly discuss the appropriateness of the linear regression model with reference to other aspects of the report.ConclusionIncludes a summary of the findings and a clear conclusion regarding the association.Appear highly professional, be easy to read and comprehend, and use correct statistical vocabulary.