https://learn.snhu.edu/content/enforced/735808-MAT-240-J5697-OL-TRAD-UG.21EW5/course_documents/MAT%20240%20House%20Listing%20Price%20by%20Region.xlsx?_&d2lSessionVal=x0ktAzzUerGReLR2ZE0UiO6SR&ou=735808 You have been hired by your regional real estate company to determine if your region's housing
Question:
https://learn.snhu.edu/content/enforced/735808-MAT-240-J5697-OL-TRAD-UG.21EW5/course_documents/MAT%20240%20House%20Listing%20Price%20by%20Region.xlsx?_&d2lSessionVal=x0ktAzzUerGReLR2ZE0UiO6SR&ou=735808
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 higher 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?
Purpose: What was the purpose of your analysis, and what is your approach?
Define a random sample and two hypotheses (means) to analyze.
Sample: Define your sample. Take a random sample of 100 observations for your region.
Describe what is included in your sample (i.e., states, region, years or months).
Questions and type of test: For your selected sample, define two hypothesis questions and the appropriate type of test hypothesis for each. Address the following for each hypothesis:
Describe the population parameter for the variable you are analyzing.
Describe your hypothesis in your own words.
Describe the inference test you will use.
Identify the test statistic.
Level of confidence: Discuss how you will use estimation and conference intervals to help you solve the problem.