Module 5 Case Study on Real Estate This case study will utilize the picture attached, which consists
Question:
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Module 5
Case Study on Real Estate
This case study will utilize the picture attached, which consists of 100 homes purchased in 2018.It includes variables regarding the number of bedrooms, number of bathrooms, whether the house has a pool or garage, the age, size and price of the home, what the house is constructed from, and the appraisals in 2016 and 2017.
Assigned Problem 1:It has been expressed by real estate professionals that swimming pools do not increase the value of a home.Conduct a hypothesis test for two independent samples to determine if the mean sales are different for homes with and without a pool.Use a .05 significance level.Describe your findings using proper statistical language.Note: that this problem requires an assumption that homes with a pool versus those without one are not much different otherwise; i.e., if those with a pool are in better locations, made of better materials, are newer and larger, then those homes will be worth more and it will not have anything to do with a pool.For the sake of simplicity, we will assume that the homes or without a pool have similar variability in them.
Assigned Problem 2:We would like to find out how different two real estate agents can be in their appraisals of a property.Conduct a hypothesis test for paired samples and test if there is a difference in the mean appraisal prices given by these agents on the same homes.Use a .05 significance level.Describe your findings using proper statistical language.
Assigned Problem 3:If people are going to invest in their homes by constructing them out of brick, are they going to take the plunge and install a swimming pool?Conduct a hypothesis test of proportions to determine if the proportion of homes made of brick are more likely to have a swimming pool versus homes made of other materials.Use a .05 significance level.Describe your findings using proper statistical language.
Assigned Problem 4:You might expect that homes with more bedrooms are worth more since they are probably larger, but is there more to the value; i.e., location, construction, age, etc.?Using the sample of 100 homes in the data file, conduct a hypothesis test using Analysis of Variance (ANOVA) to determine if there is a difference in the mean sale price of homes with two bedrooms versus those with three, four or five bedrooms.Use a .05 significance level.Since there are homes made of varying sizes at different locations and made of different material for this sample, it would be reasonable to assume that location and construction are not factors in this test.Describe your findings as you do on the other problems.
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