Description
Prerequisite: MAT 201. Corequisite: 231 or 220. Course will examine probability and statistical hypothesis testing from a calculus perspective and is suitable for scientists, engineers and mathematicians. Topics to be covered will include: Sample spaces, random variables, discrete and continuous distributions, including binomial, exponential, Poisson, normal and the approximation of the binomial with the normal. The Neyman-Pearson lemma and its use to justify hypothesis testing for means and proportions will be a course goal. Other topics such as continuous conditional probabilities, the t-distribution, ANOVA and additional hypothesis testing will be covered at the discretion of the instructor.