Statistical analysis and design of engineering experiments. Random variables and sampling distributions; estimation and hypothesis testing; concepts of central tendency, variability, confidence level; correlation, regression and variation analysis; robust estimation; experiments of evaluation; experiments of comparison; factorial experiments (analysis of variance); experimental designs (involving randomization, replication, blocking and analysis of covariance).
This course may not be repeated for credit.
Prerequisite(s)
- Admission to the MSc or PhD in Chemical and Petroleum Engineering or consent of the Department. Also known as: (Environmental Engineering 621)
Sections
This course will be offered next in
Winter 2025.