ENGS 93 - Statistical Methods in Engineering

Description

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.

Prerequisites

MATH 13 or equivalent

Distribution Code

QDS

Offered

Term
Time
Location / Method
Instructor(s)
Term: Spring 2023
Time: 10A
Location:
Instructors:

Vikrant S. Vaze


Term: Winter 2024
Time: 11
Location:
Instructors:

Ronald C. Lasky


Term: Fall 2023
Time: 11
Location:
Instructors:

Ronald C. Lasky


Term: Winter 2023
Time: 11
Location:

ECSC 116

Instructors:

Wesley Marrero