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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: Fall 2022
Time: D
Location:
Instructors:

Ronald C. Lasky


Term: Fall 2023
Time: D
Location:
Instructors:

Ronald C. Lasky


Term: Fall 2022
Time: Arrange
Location:
Instructors:

Vikrant S. Vaze


Term: Fall 2023
Time: Arrange
Location:
Instructors:

Vikrant S. Vaze


Term: Winter 2023
Time: D
Location:
Instructors:

Ronald C. Lasky


Term: Fall 2021
Time: 2A
Location:

Cummings 200

Instructors:

Vikrant S. Vaze


Term: Fall 2021
Time: 11
Location:

Cummings 200

Instructors:

Ronald C. Lasky


Term: Winter 2022
Time: 11
Location:
Instructors:

Ronald C. Lasky


Term: Winter 2021
Time: D
Location:

Remote with synchronous components

Instructors:

Ronald C. Lasky