Design & Analysis of Experiments (MA702)
Programme:
M.Tech (EST)
Category:
Programme Core (PC)
Credits (L-T-P):
0 (3-0-0)
Content:
Overview of probability, probability functions, random variables, probability distributions, Sampling theory: random samples, statistics, sampling distributions, central limit theorem, parameter estimation, point estimation, interval estimation of means and variance, hypothesis testing, goodness of fit tests, Analysis of variance of one – way, two – way classified data, experimental designs: CRD, RBD, LSD, factorial experiments
References:
Douglas Montgomery, Design and Analysis of Experiments, 3rd Edition, John Wiley.
Sheldon Ross M., Introduction to Probability & Statistics for Engineers & Scientists, John Wiley
Hogg R. V., Craig A. T., Introduction to Mathematical Statistics, 4th Edition, McMillan
Department:
Chemical Engineering