Measurements, Statistics, and Probability

4 credits

A combined lecture and laboratory course that provides an introductory treatment of probability theory, including distribution functions, moments, and random variables. Practical applications include estimation of means and variances, hypothesis testing, sampling theory, and linear regression. Prerequisites: MATH 20D and MATH 18 or MATH 31AH; BENG 100 or consent of department. (S)