Design and Analysis of Experiments - Part 1
Design of Experiments
Description
Investigators perform experiments in virtually all fields of inquiry, usually to discover something about a particular process or system. In this course, you will learn the basic concepts of experimental design, and the statistical analysis of data. The course begins by introducing different probability and sampling distributions. The fundamental concepts of hypothesis testing and analysis of variance are discussed before starting designing of single factor experiments. The general factorial design and the two-level factorial designs are explained at the end. On completion of the course, you would be able to plan and conduct experiments, and analyze the resulting data so that valid conclusions can be drawn. The second part of the course ( to be launched soon) will focus on advanced concepts of experimental design, and the application of statistical software in the field.
What You Will Learn!
- A comprehensive course on Design of Experiments
- Probability distributions
- Confidence intervals
- Statistical hypothesis testings
- Analysis of Variance (ANOVA)
- Design of single factor experiments
- Factorial experiments
- 2^k experiments
- Yate's Algorithm
Who Should Attend!
- Students of Engineering ,Science and Social Sciences
- Quality Engineers and Managers
- Six Sigma Practitioners
- Data Analysts