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Course Detail

Course Name Managerial Statistics
Course Code 19MEE346
Program B. Tech. in Computer and Communication Engineering
Year Taught 2019


Unit 1

Quantitative methods: Basic terminology in probability, probability rules, conditions of statistical dependence and independence, Bayes Theorem, Discrete Random Variables review of probability distributions, measure of central tendency.
Sampling and sampling distributions: Introduction to sampling, random sampling, design of experiments, introduction to sampling distributions Estimation: point estimates, interval estimates and confidence intervals, calculating interval estimates of mean from large samples, using t test, sample size estimation.

Unit 2

Testing hypothesis: Introduction, basic concepts, testing hypothesis, testing when population standard deviation is known and not known, two sample tests.
Chi-square and analysis of variance: introduction, goodness of fit, analysis of variance, inferences about a population variation

Unit 3

Regression and correlation: Estimation using regression line, correlation analysis, finding multiple regression equation, modelling techniques, Non parametric methods and time series and forecasting: Sign test for paired data, rank sum test, rank correlation, Kolmogrov – smirnov test, variations in time series, trend analysis, cyclic variation, seasonal variation and irregular variation. Decision theory: Decision tree analysis

Textbook / References


  • Levin R. I. and Rubin D. S. – ‘Statistics for management’ – Pearson Education – 2007 – 5th Edition
  • Montgomery D. C. and Runger G. C. – ‘Applied Statistics and Probability for Engineers’ – John Wiley & Sons – 2002 – 3rd Edition


  • Bain.L. J. and Engelhardt M. – ‘Introduction to Probability and Mathematical Statistics’ – Duxbury Press – March 2000 – 2nd Edition
  • Hinkelmann K. and Kempthorne O. – ‘Design and Analysis of Experiments : Volume I’ – John Wiley & Sons, Inc. – December 2007 – 2nd Edition
  • Johnson R. A. and Wichern D. W. – ‘Applied Multivariate Statistical Analysis’ – Prentice-Hall, Inc. – December 2001 – 5th Edition
  • Myers R. H. – ‘Classical and Modern Regression with Applications’ – PWS-Kent Publishing Company – March 2000 – 2nd Edition
  • Devore J. L. – ‘Probability and Statistics for Engineering and the Sciences’ – Brooks/Cole Publishing Company – December 1999 – 5th Edition
  • Freund J. E. and Walpole R. E. – ‘Mathematical Statistics’ – Prentice-Hall Inc. – October 1986 – 4th Edition

Evaluation Pattern

Assessment Internal External
Periodical 1 (P1) 15
Periodical 2 (P2) 15
*Continuous Assessment (CA) 20
End Semester 50
*CA – Can be Quizzes, Assignment, Projects, and Reports.

Objectives and Outcomes


To impart the knowledge of basic statistical tools for analysis and interpretation of qualitative and quantitative data for decision making

Course Outcomes

  • CO1: Apply basic probability and statistics concepts for various business problems
  • CO2: Perform test of hypothesis
  • CO3: Compute and interpret the result of regression and correlation analysis for forecasting
  • CO4: Solve real time problems by applying different decision making methods.

CO – PO Mapping

CO1 3 3 2 2 2 2 3
CO2 3 3 2 2 2 2 3
CO3 3 3 2 2 2 2 3
CO4 3 3 2 2 2 2 3

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