Hi,I need help on this Friday's statistics exam. This course used SPSS software, which means you need to understand the graphs and forms from SPSS. This course mainly about statistics, such as Chi-Square test (Goodness-of-fit test, r*c contingency table, Mantel-Haenszel test), ANOVA (one-way, Kruskal-Wallis test; RBD two-way, Friedman-Kendall-Smith test), Correlation Analysis, Linear Regression, Logistic Regression, Survival Analysis, Proportional Hazards. You also need to be familiar with the basic knowledge of statistics, such as p-value, t-test, z-test, paired samples, Independent samples(common variance&unequal variances), Sample size estimation, Wilcoxon signed rank test, Wilcoxon rank sum test, population proportion, odds ratio. And also a chapter of Prevalence. I upload the example test with answer, but due to switch to the online test, the questions should be all multiple choice questions.Please check. Thanks for your help ! !

Option 1: Springdale Shopping Survey InstructionsThe 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.We will concentrate on variables 18–25, which reflect how important each of eight different attributes is in the respondent’s selection of a shopping area. Each of these variables has been measured on a scale of 1 (the attribute is not very important in choosing a shopping area) to 7 (the attribute is very important in choosing a shopping area). The attributes being rated for importance are listed below. Examining the relative importance customers place on these attributes can help a manager “fine-tune” his or her shopping area to make it a more attractive place to shop.18 Easy to return/exchange goods19 High quality of goods20 Low prices21 Good variety of sizes/styles22 Sales staff helpful/friendly23 Convenient shopping hours24 Clean stores and surroundings25 A lot of bargain salesPerform the following operations for variables 18–25:Compute descriptive statistics for each variable along with an explanation of what the descriptive statistics tell us about the variable. This will include the mean, mode, range, standard deviation, and the 5-number summary (minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum). Be sure to show each calculation in your spreadsheet.Are there any data points for any of the variables that can be considered outliers? If there are any outliers in any variable, please list them and state for which variable they are an outlier. Use the z-score method to determine any outliers for this question. Be sure to show each z-score calculation in your spreadsheet for each variable.Based on the results for question 1, which attributes seem to be the most important and the least important in respondents’ choice of a shopping area? Which items from #1 did you use to decide on the least and most important attributes, and why?Determine the correlation coefficient between variable 19 and variables 21–25. Please provide an explanation of the relationships. Show your calculations for each correlation coefficient within the spreadsheet.Paper RequirementsWrite a report that applies 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 which 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.

Gulf Real Estate Properties, Inc. is a real estate firm located in southwest Florida. The company, which advertises itself as an “expert in the real estate market,” monitors condominium sales by collecting data on location, list price, sale price, and the number of days it takes to sell each unit. Each condominium is classified as Gulf View if it is located directly on the Gulf of Mexico, or No Gulf View if it is located on the bay or a golf course (near but not on the Gulf). Sample data from the Multiple Listing Service in Naples, Florida, provided sales data for 40 Gulf View condominiums and 18 No Gulf View condominiums. The complete data set is in the file named Real Estate, linked at the bottom of the page.Managerial ReportPrepare a report (see below) that summarizes your assessment of the nature of the housing market in southwest Florida. Be sure to include the following seven (7) items in your report.Descriptive statistics (mean, median, range, and standard deviation) to summarize each of the three variables for the 40 Gulf View condominiums. Are there any outliers in the data set for any of the three variables? If there are any outliers in any category, please list them and state for which category they are an outlier. Describe which method you used to make your determination.Descriptive statistics (mean, median, range, and standard deviation) to summarize each of the three variables for the 18 No Gulf View condominiums. Are there any outliers in the data set for any of the three variables? If there are any outliers in any category, please list them and state for which category they are an outlier. Describe which method you used to make your determination.Compare your summary results from #1 and #2. Discuss any specific statistical results that would help a real estate agent understand the condominium market.Develop a 95% confidence interval estimate of the population mean sales price and population mean number of days to sell for Gulf View condominiums. Interpret your results.Develop a 95% confidence interval estimate of the population mean sales price and population mean number of days to sell for No Gulf View condominiums. Interpret your results.Assume the branch manager requested estimates of the mean selling price of Gulf View condominiums with a margin of error of $40,000 and the mean selling price of No Gulf View condominiums with a margin of error of $15,000. Using 95% confidence, how large should the sample sizes be for each?Gulf Real Estate Properties just signed contracts for two new listings: a Gulf View condominium with a list price of $589,000 and a No Gulf View condominium with a list price of $285,000. What is your estimate of the final selling price (based on the percent difference for the sale and list price) and number of days required to sell each of these units?Write a report that adheres to the Written Assignment Requirements under the heading “Expectations for CSU-Global Written Assignments” found in the CSU-Global Guide to Writing and APA Requirements. As with all written assignments at CSU-Global, you should have in-text citations and a reference page. An example paper is provided in the MTH410 Guide to Writing with Statistics, linked at the bottom of the page.Your report must contain the following:A title page in APA style.An introduction that summarizes the problem.The body of the paper should answer the questions posed in the problem by communicating the results of your analysis. Include results of calculations, as well as charts and graphs, where appropriate.A conclusion paragraph that addresses your findings and what you have determined from the data and your analysis. Submit your Excel file in addition to your report.