(4 CREDITS)
An introductory course in statistics for the life sciences. Graphical and numerical techniques of description, probability, random variables, discrete and continuous distributions, sampling distributions, confidence intervals, hypothesis testing, statistical design, goodness-of-fit tests, contingency tables, analysis of variance, and simple linear regression. Computer lab sessions form an important part of this course.
PREREQUISITE(S): MATH-150, 180 or 190 or the equivalent of any of these, or consent of the department.