SQM MBA

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Statistical & Quantitative Methods

1. Arranging data to convey meaning – Tables, Graphs and Frequency Distribution (6)

2. Measures of Central Tendency – Arithmetic Mean, Median, Mode. Measures of Dispersion – Range, Quartile, Mean Deviation, Standard Deviation, Coefficient of Variation. (6)

3. Correlation – Karl Pearson coefficient & Rank correlation – Partial & Multiple correlation. Simple and Multiple Regression (Linear) – Equation and prediction (6)

4. Association of Attributes: Yule’s coefficient & Coefficient of colligation. (6)

5. Probability – Concept, Bayes’ theorem. Probability Distributions – Binomial, Poisson and Normal (6)

6. Linear Programming – Formulation. Graphical solution, Transportation & Assignment Problems – all methods (6)

7. Queuing Theory – Single Server (M/M/I , Infinite, FIFO) and Multi Server (M/M/C , Infinite, FIFO) (6)

8. Markov Chains & simulation techniques. Monte Carlo Simulation (6)

9. Games Theory – 2×2 zero sum game with dominance – Pure Strategy and Mixed Strategy (6)

10. Decision Theory – Decision making under risk (EMV criteria) and Decision making under uncertainty (6)

Books Recommended:-

Statistics for Management – Levin and Rubin
Statistical Methods – S.P.Gupta
Statistical and Quantitative Methods – By Ranjit Chitale
Quantitative Techniques – N.D.Vohra
Statistics and Quantitative Techniques – M.G.Dhaygude
Quantitative Techniques Vol. 1 and 2 – L.C.Jhamb

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