Lab assignments
Click here for explanation of why we use computing in Statistics 103.
Computer Labs
Each week we will have a computer lab to explore further the
principles of data analysis. The links below go to each lab.
Advice for being efficient in labs:
The first time you use a generic data analysis tool (e.g., a
histogram or regression), the lab instructions will include the
relevant
JMP commands for using that tool. Subsequent labs will use data
analysis tools from previous labs, but instructions will not be
repeated. I recommend that you maintain a list of JMP commands
for
each analysis, adding to it after each lab you complete. That
way,
you have a handy reference sheet available, which will save you
tremendous amounts of time when doing the labs and the final project.
Lab
week |
Topic
Covered |
Data
Story |
January 11 |
No lab |
|
January
18 |
Introduction to JMP |
CEO compensation |
January
25 |
Study design and randomization |
Agricultural census. Survey of Youth in Custody |
February
1 |
Univariate summaries, correlations |
Movie revenues |
February
8 |
Exploratory data analysis case study | U.S. macroeconomic data |
February
15 |
Exploratory data analysis case study |
Lead exposure in children |
February
22 |
Exploratory data analysis case study |
Statistics of investments |
March 1 |
Case study |
Predicting real estate prices |
March 8 |
No lab |
|
March
22 |
Case study |
Sesame Street analysis |
March
29 |
Confidence intervals Hypothesis tests |
Caffeine and depression. Subliminal messages and learning mathematics. |
April 5 | Chi-squared tests |
Are juries truly "of your peers?" Does satisfaction with appearance change with age? |
April
12 |
Simple regression | Cross-sectional analysis of GNPs |
April 19 |
Project presentations in labs |