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Course Materials
Data Description
Normal Distribution
Statistical Inference
Linear Regression
Comparison of Two Groups
Analysis of Variance
Model Validation
Linear Models
Categorical Data Analysis
Logistic Regression
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Data Analysis with R
Statistical Methods I
Statistical Methods II

Data Analysis with R

Case studies should be organized for your own future reference.

Lecture note Case studies
Analysis with R
  1. Concrete block weight (brick.txt, brick.R)
  2. Heart rate reductions (heart.csv, heart.R)
  3. Nerve conductivity speed study. (nerve.txt, nerve.R)
  4. Labor efficiency study. (time.csv, time.R)
  5. Hearing tests (hearing.csv, hearing.R)

Final project. Your final project activity involves either the analysis of your own data or the completion of one of the suggested problems; see finalproject3070.docx for details. The project should result in a short report (no longer than 5 pages) prepared for the statistical investigation of your choice. You may select data available at "Data in Statistical Studies" or find data someplace else. However, if you use your own data or found it someplace else then you must submit the data file to the instructor by the submission deadline.

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