Quantitative Methods – II FYBBI Semester II Manan Prakashan

Quantitative Methods – II
FYBBI
Semester II
Syllabus1. Testing of Hypothesis (10 Lectures)
Testing of Hypotheses : Null Hypothesis, Alternative Hypothesis, Decision Criterion, Critical Region, Type I and Type II Error, Level of Significance, Test Based on Large Sample for Means and Proportion/s
2. Linear Programming Techniques (10 Lectures)
Meaning, Advantages, Limitations, Business Applications, Basic Terminology, Formulation of Linear Programming Problems, Graphical Method of Solving Linear Programming Problems, Simplex Method (upto 3 Variables) with Maximisation and Minimisation. Duality in Linear Programming (Concept only)
3. Matrices and Determinants (Application in Business and Economics) (10 Lectures)
Matrices, Types of Matrices, Transpose, Addition, Multiplication, Subtraction of a Matrix, Determinants, Type of Determinants, Inverse of a Matrix by Pivotal Reduction Method, Adjoint Method and Row / Column Transformation. Application of Matrices and Determinants to Business and Economics. (Please concentrate on Application of Matrices and Determinants to Business and Economics)
4. Ratio, Proportion and Percentage (10 Lectures)
Ratio Definition, Continued Ratio, Inverse Ratio, Proportion, Continued Proportion, Direct Proportion, Inverse Proportion, Variation, Inverse Variation, Joint Variation, Percentage : Meaning and Computation of Percentage
5. Statistical Applications In Investment Management (15 Lectures)
Expected Return from Shares (using Probability), Measuring Total Risk from Investigator Shares (using Standard Deviations), Partitioning Risk into Systematic and Unsystematic Component (using Co-variance), Measuring Risks of Portfolio (using Co-relation) to Draw Conclusions regarding Share Prices (using Testing of Hypothesis)
6. Economic Indicators (5 Lectures)
GDP, Real Growth in GDP Price Level Inflation Rate, Money Supply, Index for Agricultural Production, Index for Industrial Production, Electrical