Exploratory data analysis and visualization, logistic regression, estimation and inference of multiple regression models, model selection, Analysis of Variance, multiple comparisons, and experimental design.

Prerequisites:

• [MATH-256] Introduction to Probability and Statistics -- with a grade of at least C.

Teaching history:

• 2019 Spring

  -- M. Buot.
• 2017 Spring

  -- M. Buot.
• 2015 Spring

  -- M. Buot.