The following set of R codes is used in teaching Applied Statistics I and II. It was meant to give students some programming skills and not just direct statistical analyses. See also a small Intro to R.
Lessons: (Can be only accessed by downloading them. To do so, right click on the file name and then select 'Save link as ...')
- Lesson 1: Simple Random Sample Data: datafile.csv
- Lesson 2: Systematic Sampling
- Lesson 3: Stratified and Cluster Sampling
- Lesson 4: Qualitative Data Representation
- Lesson 5: Quantitative Data Representation
- Lesson 6: Descriptive Measures
- Lesson 7: Probability -- File I and File II
- Lesson 8: Random Variables
- Lesson 9: Normal Distribution
- Lesson 10: Sampling Distribution
- Lesson 11: Confidence Interval for the Mean I
- Lesson 12: Confidence Interval for the Mean II
- Lesson 13: Tests of Hypothesis for One Mean
- Lesson 14: Tests of Hypothesis for Two Means
- Lesson 15: Analysis of Variance
- Lesson 16: Two-Way Analysis of Variance and Three-Way Analysis of Variance
- Lesson 17: Randomized Block Design
- Lesson 18: Simple Linear Regression
- Lesson 19: Multiple Linear Regression
- Lesson 20: More Regression (Lack of Fit, variance stabilization, and Box-Cox transfromatio) Data: EX623.csv
- Lesson 21: Regression Model Selection
- Lesson 22: Analysis of Covariance
- Lesson 23: Nonparametric statistics (by Dr. George Yanev)
Thanks to all of those who used/are using the files and checked/are checking them out.