ENGS 93: Statistical Methods in Engineering

Offered

14W, 15W: 11
14S, 15S: 12

Prerequisites

MATH 13 or equivalent

Dist

QDS

Instructors

Lasky (14W, 15S)
Vaze (14S, 15W)

Textbooks

Winter 2014: see list
Spring 2014: see list

Can be used to satisfy graduate degree requirements

The application of statistical techniques and concepts to maximize the amount and quality of information resulting from experiments. After a brief introductory summary of fundamental concepts in probability and statistics, topics considered will include probability distributions, sampling distributions, estimation and confidence intervals for parameters of statistical distributions, hypothesis testing, design and analysis of variance for single and multiple-factor experiments, regression analysis, estimation and confidence intervals for parameters of non-statistical models, and statistical quality control.