# Homeownership vs, Renting Comparisons of Males, Females, Couples and Singles and the trends in real estate

67. Homeownership vs, Renting Comparisons of Males, Females, Couples and Singles and the trends in real estate

The purpose of this project is to demonstrate statistical techniques to analyze a topic of your own and to communicate your conclusions. To this end, you must provide a detailed discussion of which techniques you chose to use on your data, and why those techniques were the most appropriate. Use a variety of techniques not just graphing), including at least two of the inference techniques (listed below). There must also be a detailed discussion of the results of the techniques and the conclusions you draw from those results.
Format For The Report
Give your report a short descriptive title. [I am open for title name]. This is not a labeled section. Your title should appear on the cover of your report.
Abstract:
Provide a brief summary of your report. It should be one or two paragraphs: state the problem simply, identify the methodology (e.g., “The primary analytic tool was regression analysis.”), summarize the conclusions.
Problem Statement:
A brief description of the problem you are presenting in this paper. This should also include a statement as to the reason why you chose this problem. Use nontechnical language for this part. If you know of pertinent history, you may explain it briefly to establish a context for your research. One or two paragraphs is usually sufficient.
Procedures:
This is where you tell your reader the sources of your data and how you manipulated them before you performed your statistical analysis. You should also provide your reader with a summary of the procedures you used in your analysis and your reasons for choosing those procedures.
The following is a list of acceptable tests:
• regression line and equation; correlation
• one-sample t-test
• one-sample t confidence interval
• matched-pairs t-test
• two-sample t-test
• two-sample t confidence interval
• F-test for variances
• ANOVA
• one-sample z test for proportions
• one-sample z confidence interval for proportions
• two-sample z test for proportions
• two-sample z confidence interval for proportions
• chi-square
Your report should analyze the data distribution(s) graphically and with summary statistics. It should also have at least two significance tests and a confidence interval.
Explain what tools you will use to describe the data. Decide which of the tests would best analyze your data. List those tests, state H0 and H1, and describe exactly what you expect to learn from each test. If your data distribution is extremely non-Normal, check whether tests you are proposing would be usable.
Results:
This is where you summarize the results of your analysis. Results should include a statement of hypotheses and a p-value for key tests. Summary tables and graphs should be included here; detailed printouts should be included in an appendix to your report. For example, if your project involved selecting the explanatory variable most strongly correlated with a response variable, you should present the correlation coefficients between the response variable and each of the explanatory variables here. However, the Excel output providing the correlation coefficients of all of the variables with each other would be included in an appendix.
You should also include a description of what the reader should be looking for in your results. Using the example from above, you could point out which variables have strong correlation with the response variable.
Conclusions:
This section contains your interpretation of the results and ties them back to the original problem. (You should note that many readers will read this section immediately after they read the problem statement.) Use nontechnical language for this part of your report.
Discussion:
Give a discussion of any problems you faced in doing the research or interpreting the results. If you have ideas for moving to the next level in researching the topic, you may give them here also.
Citations:
As an academic it is critical that you give credit to others when you base your work on work that they have done. This section is where you do that. Please note that in statistical and business writing the preferred format is the American Psychological Association (APA) citation format.
Last modified: Thursday, January 3, 2013, 2:20 PM
In finalizing your project you should do the following:
1. Make certain your report follows the outline in ‘Format For The Report’.
2. Use section and sub-section headings in your report.
3. Include in the body of your report short tables and graphs referred to in the report. Usually, these go immediately after they are referred to in the text. (If you have difficulty placing a graphic or table in the report, you may place it in an Excel file with appropriate labeling.)
4. Include lengthy tables and relevant printouts or transcribed copies of the calculator results in an appendix to your report.
5. Proofread your report for spelling, content, clarity, ease of readability, and grammar. Identify all sources of information or data in text notes, if needed, and in a list of sources at the end of your report.
6. Submit the project as either one or two attachments:
• Two attachments: One should be a Microsoft Word or similar text document. The second should be Microsoft Excel or similar graphics document.
• One Attachment: You may submit the final project in one document if you can combine text, analysis, and graphics in one.