Course: Statistics with R

Statistics with R This course gives an understanding of how to calculate, graph, and interpret statistics. The course emphasizes the application of statistics to gain insight into real-world industry problems. To make students more marketable to potential employers, this course uses the popular open source programming language known as R. Topics include the following: (1) Statistics 101: An overview; (2) Dataframes: Working with data in R; (3) Central Tendency: Mean, Median, Mode, etc. (4) Variance; (5) Single Samples; (6) Two Samples; (7) Regression; (8) Analysis of Variance (ANOVA). The course also includes several sections on working with R.

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The course uses the following books:
Statistics: An Introduction Using R; 2nd Edition. Crawley. Wiley 2014.

Course Description Syllabus
Alliant DAT 5005 Applied Statistics
Statistics with R
Alliant DAT 5005

The course content table below includes chapter content, case studies (with supporting files), web resources, and relevant videos.

Abridged Content Table: Enter Password Above for Complete Table

Course Content Case Studies Web Resources Videos
Chapter 0.
Basic Statistics
Chapter Case Study:
Website How Statistics Touch Our Everyday Lives (6:39)
"However beautiful the strategy, you should occasionally look at the results."
- Sir Winston Churchill