To collect, describe, and analyze data to answer two questions of your choice. This will allow you to apply the skills you learn in this course to the world around you

Paper, Order, or Assignment Requirements


Statistics Projects (15% of course grade)
Goal: To collect, describe, and analyze data to answer two questions of your choice. This will allow you to apply the skills you learn in this course to the world around you.
Teams: You will work in groups of 3-4. It is up to the members of the group to make sure everyone contributes equally.
Topics: You are free to choose your own questions. The questions may be related to your major or some other topic of interest. You should choose a topic so that it will be straightforward to gather the data about UAE (at least 100 observations)
Project Final Reports:
Final reports are due on or before July 5. See a checklist below of what should be included in the report. Reports must be typed.
Grading Criteria for Final Report:
10%: Quality of written report
20%: Design of survey/experiment – was data collection adequately explained, were the appropriate data collected to answer the questions posed. Points here will include originality of topic chosen.
25%: Correctness of statistical analysis and checks of technical conditions
20%: Appropriateness of interpretations of the results of the statistical calculations and conclusions.
Statement of purpose/question of interest (~ 2 lines)
I. Introduction
Explain the purpose of the study in your own words, why you were interested in the question and what you expected to see from the data.
II. Summary of data collection (no such thing as “too much detail” in this section!)
Identify sample, population, sampling frame (if applicable), response rate (if applicable)
Describe sampling technique (if applicable) or experimental design
Discuss how you tried to reduce bias
Identify possible remaining sources of bias and their possible effects on the results
If a sample, why do you believe the sample was representative?
III. Summarize and interpret the data (concise, well-labeled, easy to read)
Categorical data:
Graphs: pie chart or bar chart (with percents not counts)
Numerical: Proportion and sample size in each category
Quantitative data:
Graphs: e.g., histograms, frequency polygon, Ogive, dotplots or GIS.
Measures of Central Tendency: e.g., mean, median
Measures of Spread: e.g., range, SD, IQR
Checks and Identification of Outliers: boxplots
Interpret and discuss what you can learn from the pictures (e.g., compare shape…) and make sure you report sample sizes as well.
V. Interpretation/Explanation of Results
What does it all mean?
Use the above summaries to justify your interpretation
Back up your conclusions with interpretations of the graphical summaries as well.
Suggest reasons for what you’ve observed
e.g., why do you think these groups are different? or not different?
VI. Overall Conclusions
Review of what analyses revealed and any potential problems with your study.
Recommendations based on your analyses.
Future Questions for someone conducting a similar study in this area and/or discussion of what you could have done differently with your project to strengthen your conclusions