ECOR 2050
Design and Analysis of Engineering Experiments
Statistics and the design of engineering experiments. Basic exploratory data analysis. Central limit theorem. Hypothesis testing: t-test, chi-square test, type-I and type-II errors, multiple-comparison problem. Statistical bias. Design of experiments: randomization, blocking and replication, randomized blocking designs, factorial design. Statistical software packages.
2025
Readings
- Title Authors Publisher Link Cost Probability and Walpole R.E., Pearson https://www.pearson.com/en-ca/subject- From Statistics for Engineers Myers, R.H., catalog/p/probability--statistics-for- CAD 67.99
- Applied Statistics and Montgomery Wiley https://www.wiley.com/en- From Probability for D.C. and ca/Applied+Statistics+and+Probability+for+E CAD 134.95 Engineers Runger G.C. ngineers%2C+7th+Edition-p-9781119400363
Prerequisites & course information
Prerequisite(s): MATH 1004 . Lectures three hours a week, problem analysis and laboratory three hours a week.
Sources
- Course catalogue ↗2026–2027
- ECOR 2050 All Sections ↗2025