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Fundamentals of Engineering Statistical Analysis
This course provides fundamental concepts in probability and statistical inference, with application to engineering contexts. Probability topics include counting methods, discrete and continuous random variables, and their associated distributions. Statistical inference topics include sampling distributions, point estimation, confidence intervals and hypothesis testing for single- and two-sample experiments, nonparametric statistics, and goodness-of-fit testing. Excel will be used to demonstrate how to solve some class examples, and you'll be expected to use Excel to solve some homework problems. The statistical software package R will be introduced to address very basic statistics problems. Course prerequisites include calculus (differentiation and integration).

Free Open Course

Free to anyone without requirements, tests, or credit

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For-Credit Information for OU Students

Prerequisites

There are no prerequisites for this course.

Credit Hours

3 credit hours

OU Students Enroll on Ozone
DSA ISE 5013

Fundamentals of Engineering Statistical Analysis

Department/School

School of Industrial and Systems Engineering

Start Date

August 21, 2017

Duration

Day & Time

Fully Online

Kash Barker
Course Instructor
Kash Barker
Assistant Professor
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