Report: Regional vs. National Housing Price Comparison

Overview
In this project, you will apply inference methods for means to test your hypotheses about the housing
sales market for a region of the United States. You will use appropriate sampling and statistical methods.
Scenario
You have been hired by your regional real estate company to determine if your region’s housing prices
and housing square footage are significantly different from those of the national market. The regional
sales director has three questions that they want to see addressed in the report:
Are housing prices in your regional market lower than the national market average?
Is the square footage for homes in your region different than the average square footage for homes in the
national market?
For your region, what is the range of values for the 95% confidence interval of square footage for homes
in your market?
You are given a real estate data set that has houses listed for every county in the United States. In
addition, you have been given national statistics and graphs that show the national averages for housing
prices and square footage. Your job is to analyze the data, complete the statistical analyses, and provide a
report to the regional sales director. You will do so by completing the Project Two Template located in the
What to Submit area below.

Report: Regional vs. National Housing Price Comparison

Region It is the East North Central region is the region selected from the given list, and also the region from which the paper will obtain its examples.

Its purpose is to examine local data in order to establish if the housing costs and square footage is significantly different from national prices. The report’s primary goal is to determine if the home price that are being sold in the East North Central region are less than the national average, and if the square footage of houses in the region differs from the standard area of homes on National market.

Regional Comparison vs. National Housing Price Comparison 2.

The sample: A random selection from the list could contain five hundred observations, which include the cost of listing a house as well as the price for each square foot as well as the amount of square footage for each home. The random sample includes 500 states within the East North Central Region and the counties for each state.

Questions and the type of test for the sample two hypotheses that could be addressed are: Hypothesis one: are house prices in the region less than the national market average? And hypothesis 2; is the area of homes in the region different from the typical square footage of houses in National markets? The most appropriate test to test the hypothesis of the first issue is the One-Tailed test, as well as the Two-Tailed Test is the test for the second hypothesis question