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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 equivalentDistribution Code
QDSOffered
Term: Winter 2024
Time: 11
Location: –
Instructors:
Ronald C. Lasky
Term: Fall 2022
Time: 11
Location: –
Instructors:
Ronald C. Lasky
Term: Fall 2023
Time: 11
Location: –
Instructors:
Ronald C. Lasky
Term: Fall 2022
Time: 2A
Location: –
Instructors:
Vikrant S. Vaze
Term: Fall 2023
Time: Arrange
Location: –
Instructors:
Vikrant S. Vaze
Term: Winter 2023
Time: 11
Location: –
Instructors:
Ronald C. Lasky
Term: Winter 2022
Time: 11
Location:
Cummings 100 (Spanos)
Instructors:
Ronald C. Lasky