Objectives:
> To familiarize student with the use quantitative techniques in managerial decision making.
Module I Quantitative Techniques - Introduction - Meaning and definition - Classification of Q.T QT and other disciplines -Application of QT in business -Limitations. 05 Hours
Module II Correlation and Regression Analysis : Meaning and definition of Correlation - Karl Pearson's co-efficient of correlation - Rank correlation - Regression - Types -Determination of simple linear regression - Coefficient of determination. 20 Hours
Module III Set Theory - Probability: Concept of probability - Meaning and definition - Approaches to probability - Theorems of probability - Addition Theorem - Multiplication Theorem -Conditional probability- Inverse probability- Baye'sTheorem. 15 Hours
Module IV Theoretical Distribution: Binomial distribution - Basic assumptions and characteristics -Fitting of binomial distribution - Poisson distribution - characteristics - Fitting of Poisson distribution - Normal distribution - Features and properties - Standard normal curve. 15 Hours
Module V Statistical Inference : Testing of hypothesis - Procedure - Error in testing - Two tail tests and one tail tests - Non parametric tests (Chi-square test only) - Parametric tests - Z test -Test of significance of large samples-Test for two sample means-Small sample mean tests - Students t test - Analysis of Variance - F test - One way ANOVA . 20 Hours
Reference Books: 1. Richard I. Levin and David S. Rubin, Statistics for Management, Prentice Hall of India, latest edition.
2. S.P.Gupta, Statistical Methods, Sultan Chand, latest edition
3. Sanchetti and Kapoor, Statistics, Sultan Chand.
4. G.C.Beri, "Statistics For Managemet",Tata Me Graw Hill, 2003.
5. J.K. Sharma, "Business Statstics:, Pearson, 2004
6. Anderson Sweeney Williams, "Statistics for Business and Economics", Thomson.
7. R.P.Hooda, "Statistics for Business", Me Millan. 8. Levine Krebiel & Bevenson, "Business Statistics", Pearson edition, Delhi.