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).

Prerequisites

Knowledge of calculus, particularly how to perform derivatives and integrals (and understand their meaning)

ISE 5013

Fundamentals of Engineering Statistical Analysis

Department/School

School of Industrial and Systems Engineering

Start Date

May 16, 2016

Duration

8 weeks

Day & Time

Archived

Course Instructor

Kash Barker

Assistant Professor

Tech Support

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- janux@ou.edu
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