# Quantitative Methods – Part I – Revised FYBBI Syllabus 2016

## Modules at a Glance

 Sr. No. Modules No. of Lectures 1 Introduction, Organising, Data, Frequency Distribution, Data Representation 10 2 Measures of Central Tendencies 10 3 Measures of Dispersion 08 4 Co-variance, Correlation and Regression 10 5 Probability, Probability Distribution and decision Theory 10 6 Index Nos. 06 7 Insurance 06 Total 60

### Quantitative Methods – Part I – Syllabus Overview

 Sr. No. Modules / Units 1 Introduction, Organising, Data, Frequency Distribution, Data Representation Organizing Data, Frequency Distribution, Measure of Central tendency, Org Data, preparation of frequency distribution graphical and diagrammatic representation histogram, frequency polygon and gives. Definition of averages and objective of averages types of average. Arithmetic mean, Geometric, harmonic mean and its usages, mode and medium (using graph also) for both) for grouped as well as ungrouped data 2 Measures of Central Tendencies Definition of Averages and objective of Averages Types of Averages. Arithmetic mean, Geometric Mean, Harmonic Mean and its advantages, Disadvantages and usages, mode, median, quartiles, deciles and percentiles for both grouped as well as ungrouped data. 3 Measures of Dispersion Concept and idea of dispersion. Various measures Range, quartile deviation, Mean Deviation, Standard Deviation and corresponding relative measure of dispersion. Geographical representation and utility of various is measure of Dispersions 4 Co-variance, Correlation and Regression Meaning, definition and Application of covariance, concept of correlation. Rank correlation, regression concept, relationship with correlation, Assumptions in simple Regression, Estimation using Simple Regression: Fitting of straight line, method of least square, construction of characteristic line/estimation line 5 Probability, Probability Distribution and decision Theory Concept of probability yen diagrams, Rules of Probality conditional & unconditional probality, Baye theorem. Discrete and continuous variable. Expected value of the variable, Decision theory normal distribution 6 Index Nos. Concept and usage of index nos. Construction of index nos. Types of index nos. Aggregate and Relative method of constructing index nos. Chain base index nos. Test of consistency: Time reversal factor reversal and circular test . Quantity and Value index nos for agricultural, industrial production, Retail Prices, Consumer price index nos. for security prices, etc. 7 Insurance Meaning, Objective, Purpose and need for Insurance. Fundamentals of Insurance Calculation of age, Premiums, Bonuses, Paid up value of a policy, Maturity Value of the Policy. Claim Calculation and Surrender Value.

Reference books for subject: Quantitative Methods – Part I

 Quantitative Methods-I Mathematics for Economics & Finance by Martin Anthony & Norman Biggs. Fundamentals of Statistics – D. N. Elhance, Statistical Methods – S.G. Gupta (S. Chand & Co. Statistics for Management – Lovin R. Rubin D.S, (Prentice Hall of India) Statistics – Theory, Method & Applications D.S.Sancheti & V. K. Kapoor. Modern Business Statistics – (Revised)-B. Pearles & C. Sullivan -Prentice Hall of India. Business Mathematics & Statistics : B Aggarwal, Ane Book Pvt. Limited Business Mathematics : D C Sancheti & V K Kapoor, Sultan Chand & Sons Business Mathematics : A P Verma, Asian Books Pvt. :Limited. lRDA: IC. 33 Fundamentals of Applied Statistics: S G Gupta and V K Kapoor, Sultan Chand & Co

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