• Define the population parameter. Write null and alternative hypothesis.
• Note: for means, define a hypothesis that is not equal to the population parameter.

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: 1. Are housing prices in your regional market higher than the national market average? 2. Is the square footage for homes in your region different than the average square footage for homes in the national market? 3. 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. Directions Introduction 1. Purpose: What was the purpose of your analysis, and what is your approach? a. Define a random sample and two hypotheses (means) to analyze. 2. Sample: Define your sample. Take a random sample of 100 observations for Page 5 of esc 20 588 F1 F2 F3 F4 F5 F6 #