The Florida Pool Data document is needed to complete the exercise. Please advise the best way to provide this display which in Excel format

For this practical application exercise, assuming the role of a real estate agent living and working in southern Florida. The senior real estate partner of the firm e-mails a document containing Florida pool home data and asks you to find ways to describe the most important aspects of the home sale data. This technique is called descriptive statistics. The file contains data for 80 properties, including home prices, home sizes, number of bathrooms, niceness ratings, and whether or not there is a pool.

Construct a frequency distribution, histogram, and scatter plot in Excel. Compute the following data parameters: Calculate the mean, median, range, and standard deviation of home price and size. For the assignment document, copy and paste the output (graph) from the Excel Analysis ToolPak or SAS Enterprise Guide into a Word document. Then cut and paste that spreadsheet into a Word document. Be sure to verbally summarize the data findings in four or five sentences that will help a home buyer make a purchasing decision in the Florida real estate market.

Calculate the mode for the number of bathrooms. It is ok to cut and paste the answers from the Excel Analysis ToolPak or SAS Enterprise Guide. Then verbally summarize this data to help a buyer make a purchasing decision in the Florida real estate market.

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). Then verbally summarize how this histogram will help a buyer make a purchasing decision in the Florida real estate market. Produce a scatter plot showing the relationship between price and home size. In a cell under your scatterplot, indicate whether the relationship is positive or negative and whether the results are what one can expect. Then verbally summarize how this scatter plot output will help a buyer make a purchasing decision in the Florida real estate market.