STAT 3110 - Statistics for Science and Engineering

Course Description
Emphasizing descriptive statistics, data analysis, and the calculus of probability, Statistics for Science and Engineering also investigates discrete and continuous probability distributions (for example, binomial, Poisson, normal, exponential). You will study sampling distributions, parameter estimation, hypotheses testing, goodness-of-fit tests, one-way analysis of variance, linear correlation and regression, and sampling and quality control. Software will be used for statistical analysis.

3 credits

Prerequisite(s):

One of:
- MATH 1110
- MATH 1111