OES004 – ENGINEERING STATISTICS
2 Semester Hours/3-4 Quarter Hours

Related TAGs: Industrial Engineering

Outcomes marked with an asterisk are essential and must be taught.

1. Know how to calculate measures of central tendency and dispersion.*
2. Know probability axioms and rules.*
3. Be able to describe the shape, mean, and variance of standard discrete distributions.*
4. Be able to describe the shape, mean, and variance of standard continuous distributions.*
5. Know how to estimate point and confidence interval parametric values.*
6. Be able to explain and apply the central limit theorem.*
7. Know sampling distributions.*
8. Know how to conduct hypothesis testing for one-sample and two-sample means and proportions.*
9. Understand relationships between two random variables including dependence and joint distributions.*
10. Perform correlation analysis.
11. Perform simple linear regression.

Example Course: ISE 301-4 Statistical Methods for Testing, Development and Manufacturing -I at Wright State University