Topics include: Elements of Probability Theory. Discrete Probability Distribution. (Hyper-geometric, Binomial, Poisson). Normal Distribution and its applications. Lognormal Distribution, Multivariate Distributions, Covariance and Correlation, Moment Generating Functions, Central limit theorem and applications. A statistics computer package will be used in this course.
Weekly Contact: Lab:1 hr. Lecture:3 hrs.
GPA Weight: 1.00
Course Count: 1.00
Billing Units: 1