Presentations for PBIS 189
Spring 2006
You will work in
groups for these presentations. I have tried to make the groups as even
as possible. Please be prepared to
form into your new groups on the first day we begin new material.
1) Graphical (Chapter 1) and Numerical (Chapter 2) Summaries
Collect or find some data; the quality of the data is not important for this project. Use 3 to 5 lists of data; make sure you have enough data so that your summaries are meaningful, say at least 20 cases. Summarize your data using both graphical and numerical summaries. Also, make sure you have at least one categorical variable and at least one numerical variable.
2) Regression/Correlation (Chapters 4 and 5)
Pick one of the 50 states. Predict the population in the year 2010 using a regression function (not necessarily linear though). Describe how you decided upon your model, and explain how good you think your prediction is.
3) Sampling (Chapters 7 and 8)
Sample 20 students from UWO. For each student, record the number of credits they are taking this semester, what year they are in school, and whether or not they are graduating this semester. Try to make your sample as representative as you can. You must have a probability sample to get full credit. Discuss the biases your sample has and what you did to avoid bias.
4) Confidence Intervals (Chapter 13) and Hypothesis Tests (Chapter 14)
Sample 10 of the 50 states
randomly. Calculate:
1) a Confidence Interval for the true average state name length,
2) a Confidence Interval for the true average state capital population, and
3) a test of the hypothesis H0: average state land area = 70,000
square miles versus the hypothesis Ha: average state land area <
70,000 square miles.
5) Statistical Inference (Chapters 16 to 19)
Make a claim, a statistical hypothesis, and test it. Gather appropriate data to test your claim. Discuss and justify any assumptions you made. Explain why your test is the appropriate technique.
Managed by: Chris Edwards
edwards@uwosh.edu
Last updated Jan 15, 2006