capella mba6018 assessment 1 latest 2017 july

Assessment 1 Use the Florida Pool Home Data file linked in the Resources under the Required Resources heading to complete the calculations for the following scenario. You are also encouraged to use one of the statistical applications such as SAS Enterprise Guide or the Microsoft Excel Analysis ToolPak suggested in this course. Refer to the instructions in the Resources to activate or download the software. Practical Application Scenario Suppose you are a real estate agent living and working in southern Florida. The senior real estate partner of your firm emails you the Florida Pool Home Data file and asks you to find ways to use data to describe the most important aspects of home sales. The Florida Pool Home Data file contains the data for 80 properties including each home’s price size number of bathrooms and niceness rating and whether the home has a pool. Directions Use the scenario above and the Florida Pool Home Data file to complete the following: Create a table in which you calculate the mean median range and standard deviation of home price and size. Then calculate the mode for the number of bathrooms. Label this table as “Mean Median Range Standard Deviation and Mode Results.” Produce a histogram that shows the number of houses by price range in increments of $50 000 (for example: $0–$50 000 $50 001–$100 000 and so on). Label this histogram as “Home Price Range Histogram.” Produce a scatter plot showing the relationship between price and home size. Under your scatter plot indicate whether the relationship is positive or negative as well as whether the results are what you expected. Label this scatter plot as “Price and Size Scatter Plot.” Write a report for the senior real estate partner that details your findings and recommendations about the most important aspects of home sales. Additional Requirements Compile all of your answers and your report in a single Microsoft Word file: Paste in the table and graphics you created to demonstrate your work. Clearly title your table and graphics including each row and column. (For example for the table in question 1 you might use the following labeling: Row 1 Column B contains the “Mean of Home Selling Prices”; Row 1 Column C contains the “Mean of Home Size in Square Feet”; and so on.) Highlight the results of your data calculations within each table or graphic.