MAT 340 Details
3 Credit Hours
Course 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.
Discipline: Mathematics and Physics
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Sections Offered in Fall 2025:
MAT 340 01: Probability and Statisticsfor Scientists | Saraswat, Jyoti | Open: 20 / Reg: 0 / Max: 20 | |||||||||||||
Discipline: Mathematics and Physics
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