• This course is intended for those students who may or may not plan to use statistics in their chosen careers, but wish nevertheless to become informed and astute consumers.
  • Topics include statistical decision making, sampling, data representation, random variables, elementary probability, conditional probabilities, independence, and Bayes’ rule.
  • The methodology will focus on a hands-on approach. Concepts and terminology will be introduced only after thorough exposure to situations that necessitate the concepts and terms. Care will be exercised to select a variety of situations from the many fields where statistics are used in modern society.
  • Examples will be taken from biology and medicine (e.g. drug testing, wild animal counts), the social sciences, psychology, and economics.
  • This course counts only as general elective credit for students in the College of Science.