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
 

Contact us

Prasanna B D, Associate Professor and Head
Department of Chemical Engineering, NITK, Surathkal
P. O. Srinivasnagar, Mangalore - 575 025
Karnataka, India.

  • Hot line: +91-0824-2474057

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