Quantitative Techniques

Contents: 1. Role of mathematics in business decisions. 2. Compound interest, depreciation and annuities. 3. Theory of sets. 4. Matrix algebra. 5. Binomial Theorem. 6. Equation: Linear, Quadratic and simultaneous equations. 7. Principles of mathematical induction. 8. Arithmetic progression and geometric progression. 9. Statistics – introduction, scope and role in business decisions. 10. Data classification and presentation. 11. Measure of central tendency and dispersion. 12. Measurement of skew ness and kurtosis symmetrical distribution. 13. Correlation analysis. 14. Regression analysis. 15. Time series analysis. 16. Index numbers. 17. Probability theory. 18. Probability distribution. 19. Sampling theory. 20. Theory of estimation. 21. Hypothesis testing. 22. Chi Square test. 23. Analysis of variance.