Overview
Description
Engineering-focused introduction to statistical methods, probability distributions, hypothesis testing, regression modeling, and both classical and factorial design of experiments. Emphasizes data analysis, empirical modeling, and experimental design for solving practical engineering problems.
Requirements
Prerequisites
MATH 181
Original catalog text
Prerequisites
Prerequisite(s): MATH 181
Units
Lecture3
Catalog Details
Offering
Offered: Every Fall
Terms
fall
Attributes
Standard
Learning Outcomes
- explain the key statistical principles and their application to solving engineering problems.
- describe the difference between a sample and a population and how to infer conclusions about a population based on a limited number of sample data.
- develop simple empirical models using regression analysis.
- differentiate between classical design and factorial design of experiments, and learn how to study the factor interaction effects using factorial design techniques.