Introduction to Probability & Applied Statistics
Course #: ENVSCI 601, Class #: 5245, Section #: 01
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).
Prerequisites
MATH 141 or MATH 146 or permission of instructor.
Course Details
Date / Time
1/25/27 - 5/12/27
TuTh 11a.m. – 12:15p.m.
Location
M02-0628 GIS computer lab
Credits
3
Session
Regular Academic Session
Class Dates
1/25/2027 - 5/12/2027
Location
M02-0628 GIS computer lab
Enrolled / Capacity
0 / 15
Status
Open