Statistics is the art and science of using sample data to make generalizations about populations. The purpose of STAT 100 is to help you improve your ability to assess statistical information in both everyday life and other University courses. Toward this end, the course has been designed with 11 lessons, including three examinations.
Topics covered include methods for collecting and summarizing data, the evaluation of the accuracy of an estimate, and an introduction to statistical inference. Statistical concepts and interpretations will dominate over techniques and calculations.
After successfully completing STAT 100 you will have developed an understanding of the following:
- Statistics: Benefits, Risks and Measurements
- Measurement Data: Summaries, Displays, and Bell-Shaped Curves
- How to Get a Good Sample
- Categorical Variables: Graphs and Relationships
- Measurement Variables: Graphs and Relationships
- Probability and Coincidences
- Designing Studies and Statistical Inference (Confidence Intervals)
- Statistical Inference (Significance Tests) and Reading the News
These materials have been recently revised by Dr. Dennis Pearl have been updated also by course instructors, Scott Kresge and Eli Walters. Earlier authors include Dr. Megan Romer and Dr. Patricia Buchanan.
All assignments must be submitted in Canvas.
This course uses Examity for proctored exams. For more information view O.3 What is a proctored exam? in the student orientation.
Utts, J.M. (2014) Seeing Through Statistics, Duxbury Press, 4th Edition.
Students need the ability to do basic arithmetic, work with decimals and fractions, and recall basic algebra (including the equation for a straight line).