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

Notes

Due to significant overlap in material, students may not take both ENGS 93 and ENGG 193.

Offered

Term
Time
Location / Method
Instructor(s)
Term: Winter 2023
Time: 11
Location:

ECSC 116

Instructors:

Wesley Marrero


Term: Spring 2023
Time: 10A
Location:

CUMMINGS 202

Instructors:

Vikrant S. Vaze


Term: Fall 2023
Time: 11
Location:

Cummings 200

Instructors:

Ronald C. Lasky


Term: Fall 2023
Time: 3A
Location:

Cummings 200

Instructors:

Wesley Marrero


Term: Winter 2024
Time: 2
Location:

ECSC 116

Instructors:

Wesley Marrero


Term: Fall 2024
Time: 3A
Location:

Cummings 200

Instructors:

Wesley Marrero


Term: Winter 2025
Time: 11
Location:

Cummings 100

Instructors:

Ronald C. Lasky


Term: Spring 2025
Time: 12
Location:
Instructors:

Ronald C. Lasky