Learning Principles of Statistics Through Simulation

Thursday, September 28, 2017 - 6:00 pm @ 6:00 PM – 9:00 PM
Seattle Central College - Broadway Edison Bldg
1701 Broadway
Seattle, WA 98122
Seattle Central College - Continuing Education

10 Thursdays | 9/28/17 – 12/7/17 | 6:00 PM – 9:00 PM | No class 11/23

Learning Principles of Statistics Through Simulation | Seattle Central College - Continuing EducationDo you need to use statistics to actively and creatively solve real problems that you encounter in your personal or professional lives?

Discover a new methodology for analyzing statistical data through an innovative, simulation-based approach.

You’ll engage in a series of open-ended simulation exercises using Microsoft Excel, which will guide you through the core principles of statistics, including:

  • Information
  • Precision
  • Replication
  • p-value
  • Conditioning
  • Confounding
  • Variance
  • Normal distribution
  • Experimental design
  • Bias
  • p-hacking
  • Overfitting
  • Shrinkage
  • Regression toward the mean
  • Sensitivity and Specificity
  • Admissibility

Many of these concepts are regarded as ‘advanced,’ and only properly addressed in a higher-level statistics course, but we’ll instead treat them as the indispensable core of any genuine engagement with statistics. We can do this through the simulation process, which is key to achieving a concrete, hands-on engagement with these challenging but essential ideas.

No previous experience with statistics is required! We hope that you come to this course with real, urgent problems thrust on you by your own daily work, advocacy, or citizenship.

Subscribe and support CHS Contributors -- $1/$5/$10 per month

Comments are closed.