## 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