Design and analysis of experiments

Course Name: 



M.Tech (Design and Precision Engineering)


Elective Courses (Ele)

Credits (L-T-P): 



Introduction to the role of experimental design; basic statistical concepts; sampling and sampling distribution; Testing of hypotheses about differences in means- randomized designs and paired comparison designs; testing of hypotheses about variances Analysis of variance (ANOVA) -one-way classification ANOVA; analysis of fixed effects model; comparison of individual treatment means; the random effects model; the randomized complete block design Factorial design of experiments; two-factor factorial design-fixed effects and random effects
model; General factorial design; analysis of 2k and 3k factorial designs Conforming in the 2k factorial design in 2p block; confounding in the 3k factorial design in 3p block; Fractional replication of the 2k factorial design and the 3k factorial design Regression analysis- Simple and multiple linear regression and hypothesis testing; response surface methodology-the method of steepness ascent : response surface designs for first-order and second-order models. Evolutionary operation (EVOP).


Design and analysis of experiments, D.C. Montgomery, 2nd Ed., John Wiley and sons, NewYork, 1984. Sheldon Ross M., Introduction to Probability and Statistics for Engineers and Scientists, John Wiley 1995 Hogg R.V., Craig A.T. Introduction to Mathematical Statistics, 4th Edition, McMillan, 2001 Lawson, J. & Erjavec, J., “Modern Statistics for Engineering and Quality Improvement “, Thomson Duxbury, Indian EPZ edition. 1997


Mathematical and Computational Sciences

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Dr. Ravikiran Kadoli, Professor and Head
Department of Mechanical Engineering, NITK, Surathkal
P. O. Srinivasnagar, Mangalore - 575 025
Karnataka, India.

  • Hot line: +91-0824-2473049

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