ST516 - Experimental Statistics for Engineers II
- Prerequisites: ST 515
- Term & Frequency: Spring
- Student Audience: Graduate students in engineering disciplines
- Credit: 3 credits
- Recent Texts: Douglas C. Montgomery(2009), Design and Analysis of Experiments. John Wiley & sons, Inc.
- Recent Instructors: Joe Guinness
- Background and Goals: This two-semester course sequence (ST515-6) covers aspects of probability and statistical techniques useful to engineers and researchers in other technical fields. The objective of the ST516 is to develop an understanding and working knowledge of basic statistical inference with a strong emphasis on design and analysis of experiments. The course covers fundamental concepts and methods of the design of experiments including the role of randomization, replication and blocking and their application introducion to treatment designs, experimental designs. Concepts, methods and applications are emphasized, rather than theory
- Content: Overview of design of experiments: Principles and examples; Two-sample comparative experiments: Overview of hypothesis testing, Review of sampling distributions, Comparing two means using complete randomization and paired comparisons, Comparing variances; Introduction to the analysis of variance: Single factor experiments;
Some experimental designs: Completely randomized designs, randomized complete block designs and Latin square designs;
Some treatment designs: Factorial designs,
2k Factorial designs,
Blocking and confounding in the 2kfactorial design,
Two-Level fractional factorial designs; Linear regression.
- Alternatives: ST 512 Experimental Statistics for the Biological Sciences covers similar statistical methods, but with an emphasis on, and examples drawn from, the biological rather than engineering sciences.
- Subsequent Courses: Students needing more expertise in the design of experiments could take ST 711 Design of Experients.
S1 2017 Sections:
|-||/ - |