A graduate-level introduction to statistical thinking and its applications to a wide variety of areas. Topics include: statistical and visual methods for summarizing data, basic principles of probability, regression, and fundamentals of hypothesis testing and confidence intervals. Critical examinations of the results of a statistical analysis in SAS are emphasized.

No prerequisites.

Teaching history:

• 2019 Summer

  -- G. Sokolov.
• 2018 Fall

  -- G. Sokolov.
• 2018 Summer

  -- G. Sokolov.
• 2017 Spring

  -- A. Schwab-McCoy.
• 2016 Fall

  -- A. Schwab-McCoy.