A second course in statistics covering various methods of data analysis. Topics include: t-tests, analysis of categorical data, estimation and inference of multiple regression models, Analysis of Variance, and multiple comparisons. The ability to communicate and correctly interpret the results of a statistical data analysis is emphasized.

Prerequisites:

• [MATH-156] General Statistics -- with a grade of at least C.
• [MATH-116] Elementary Statistics -- with a grade of at least B.

Teaching history:

• 2020 Spring

  -- M. Buot.
• 2019 Fall

  -- A. Buot.
• 2019 Spring

  -- G. Sokolov (x2).
• 2018 Fall

  -- M. Buot.
• 2018 Spring

  -- G. Sokolov (x2).
• 2017 Fall

  -- M. Buot.
• 2017 Spring

  -- S. Colegate (x2).
• 2016 Fall

  -- S. Colegate.
• 2016 Spring

  -- M. Buot (x2).
• 2015 Fall

  -- M. Buot.
• 2015 Spring

  -- R. Pulskamp (x2).
• 2014 Fall

  -- M. Buot.
• 2014 Spring

  -- M. Buot, R. Pulskamp.
• 2013 Fall

  -- M. Buot.