Chat with us, powered by LiveChat MATH200 Syracuse University Statistical Analysis of Homes in My Neighborhood | acewriters

Project 3 covers up through chapter 10 but primarily focuses on chapters 9 and 10 and involves an analysis of homes in your neighborhood as well as some initial data collection that will need to be completed before the analysis can begin. Below you will find all supporting documents needed for this project. In the file is the rubric for the project that covers all details and specific information/ steps.

Unformatted Attachment Preview

Math 200 – Project 3
This project will primarily cover topics from chapters 9 and 10. All papers will need to be
submitted on IvyLearn. You will be turning in a paper that should include section headings,
graphics and tables when appropriate and complete sentences which explain all analysis
that was done in addition to all conclusions and results. All work should be your own.
Plagiarism will result in a project score of 0.
You will be performing an analysis on homes in your neighborhood. One of the biggest
purchases we make in our lifetimes is a home. The purpose of this project is to help you
make an informed decision about housing values. This will help to ensure you receive a
good deal when purchasing a home. Please note that although many websites exist for
finding homes that are for sales and conducting such research, we are using Zillow here
because we will be comparing Zillow’s own “Zestimate” to the actual selling prices of the
Steps (all statistical analysis to be done in Excel and/or StatCrunch):
1. Go to the real estate website and enter the particular zip code you
are interested in living in. Randomly select at least 30 homes for sale and record the
following information:
a. Asking price
b. Square footage
c. Number of days on the market
d. Cost per square foot
e. Number of bedrooms
f. Number of bathrooms
2. Also randomly select 30 recently sold homes and determine how much
higher/lower the home sold for compare to Zillow’s “Zestimate”. You can determine
the percent difference by computing (selling price – Zestimate)/Zestimate.
3. Confidence intervals:
a. Determine 95% confidence interval for each of the variables in question one.
Interpret each of the intervals.
b. Determine a 90%, 95% and 99% confidence interval for percentage
difference in “Zestimate” and selling price from question two. Interpret the
intervals and explain why each of your intervals are different (which are
wider and why?).
4. Hypothesis testing:
a. The current average home listing price in Indiana is $134,400
( Form and conduct a hypothesis test at the .05 level that
compares the average home price in your area to $134,400.
5. Put everything together into an organized paper and submit on IvyLearn. Check
the rubric on the next page to make sure that you have completed all necessary
Math 200 – Project 3
Graded Item
Paper is well organized with clear section headings, well organized
information and graphics when appropriate
Data Collection
Step 1 data was collected and organized in a spreadsheet and
attached with the project
Step 2 data was collected and organized in a spreadsheet and
attached with the project
Confidence Intervals
6 confidence intervals for data from step 1: construct and interpret
3 confidence intervals for data from step 2: construct and interpret
Explanation as to why the intervals from step 2 are different
Hypothesis Testing
Hypothesis test was clearly set up
Hypothesis test was conducted correctly and conclusion was stated

Our essay writing service fulfills every request with the highest level of urgency

error: Content is protected !!