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Chemical Engineering  Statistics for Experimentalists
Title: Statistics for Experimentalists
Department: Chemical Engineering
Author: Dr. A. Kannan
University: IIT Madras
Type: WebLink
Abstract: This course is addressed towards students, researchers and engineers carrying out experiments in their fields of study and work. In depth knowledge of probability and statistics, though helpful, is not a pre-requisite to understand the contents of this course. The first part of the course deals with random variables, typical probability distributions, random sampling, confidence intervals on population parameters and hypothesis testing. These form the basic background of statistical analyses.
In the second part of this course, design of experiments and regression analysis are introduced. The factorial design of experiments involving two or more factors is discussed in detail. Properties of orthogonal designs and other popular design strategies such as the Central Composite Design and Box Behnken design are also discussed. The characteristic features of experimental design strategies are defined and compared.
Linear regression model building concepts are explained using which empirical models may be fitted to experimental data. The methods to assess the quality of the models fitted are discussed.
Identification of optimum performance of the process through experimental investigations is demonstrated through the response surface methodology approach.
After understanding this course material, the experimentalist will develop the confidence to identify an appropriate design strategy suited for his work. He will also be able to interpret the results of the experiments in a scientific manner and communicate them unambiguously.
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