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Introduction to Probability and Applied Statistics
Course #: ENVSCI 601
Description:
The course will analyze basic probability theory, probability distributions useful for modeling environmental processes - including binomial, Poisson, exponential, normal, geometric, hypergeometric, Chi-square, F, and Student's t - conditional probabilities & Bayes' theorem, random variables, & expected values, the central limit theorem, and parameter estimation. The course focuses on software-based hypothesis testing including p-values & confidence limits, Monte Carlo simulations, Type I and II error & power, Student's t tests and non-parametric alternatives, contigency tables & goodness-of-fit tests, regression, correlation, and one-way randomized block ANOVA. The course will make extensive use of programming software (e.g., Matlab or R).
Pre Requisites: Pre-req: MATH 141 or MATH 146 or permission of instructor.
Offered in:
2023 Fall
| Section | Class Number | Schedule/Time | Instructor | Location | |
|---|---|---|---|---|---|
| 01 | 3770 | Tu 5:30 - 8:15 pm |
Gallagher,Eugene | REMOTE | |
|
Session:
Regular
Class Dates:
09/05/2023 - 12/13/2023
Capacity:
15
Enrolled:
8
Status:
Open
Credits:
3/3
Class Notes:
Pre Requisites:
Pre-req: MATH 141 or MATH 146 or permission of instructor.
Course Attributes:
REMOTE
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