3rd Sem, IND ENGG

MA5354: Probability and Statistics Syllabus for Industrial 3rd Sem 2019 Regulation Anna University

Probability and Statistics detailed syllabus for Industrial Engineering (Industrial) for 2019 regulation curriculum has been taken from the Anna Universities official website and presented for the Industrial students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Industrial Engineering 3rd Sem scheme and its subjects, do visit Industrial 3rd Sem 2019 regulation scheme. The detailed syllabus of probability and statistics is as follows.

Probability and Statistics

Course Objective:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Unit I

Random Variables
Discrete and continuous random variables – Moments – Moment generating functions – Binomial, Poisson, Geometric, Uniform, Exponential, Gamma, Weibull and Normal distributions – Functions of a random variable.

Unit II

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
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Unit III

Tests of Significance
Type I and Type II errors – Tests for single mean, proportion, Difference of means (large and small samples) – Tests for single variance and equality of variances – Chi-square test for goodness of fit – Independence of attributes – Non-parametric tests: Test for Randomness and Rank – Sum test (Wilcoxon test).

Unit IV

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
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Unit V

Statistical Quality Control
Control charts for measurements (X and R charts) – Control charts for attributes (p, c and np charts) Tolerance limits – Acceptance sampling.

Course Outcome:

For the complete syllabus, results, class timetable, and many other features kindly download the iStudy App
It is a lightweight, easy to use, no images, and no pdfs platform to make students’s lives easier.
Get it on Google Play.

Text Books:

  1. Devore, J.L. “Probability and Statistics for Engineering and the Sciences”, Cengage Learning, 9th Edition, Boston, 2017.
  2. Johnson, R.A. and Gupta, C.B. “Miller and Freund”s Probability and Statistics for Engineers”, Pearson India Education, Asia, 9th Edition, New Delhi, 2017.
  3. Walpole, R.E., Myers R.H., Myres S.L., and Ye, K. “Probability and Statistics for Engineers and Scientists”, Pearson Education, Asia, 9th Edition, New Delhi, 2011.

References:

  1. Krishnaiah, K. and Shahabudeen, P. “Applied Design of Experiments and Taguchi Methods”, Prentice Hall of India, New Delhi, 2012.
  2. Milton, J.S. and Arnold, J.C. “Introduction to Probability and Statistics”, Tata McGraw Hill, 4th Edition, 3rd Reprint, New Delhi, 2008.
  3. Ross, S.M. “Introduction to Probability and Statistics for Engineers and Scientists”, Elsevier, 5th Edition, New Delhi, 2014.
  4. Spiegel, M.R., Schiller, J., Srinivasan, R.A. and Goswami, D., “Schaum”s Outline of Theory and Problems for Probability and Statistics”, McGraw Hill Education, 3rd Edition, Reprint, New Delhi, 2017.

For detailed syllabus of all other subjects of Industrial Engineering, 2019 regulation curriculum do visit Industrial 3rd Sem subject syllabuses for 2019 regulation.

For all Industrial Engineering results, visit Anna University Industrial all semester results direct link.

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