Business Mathematics and Statistics (Sem – II)
Dr Ganesh Patil, Prof Pramod Momale, Prof Ravindra JadhavRs.195.00
- Matrices and Determinants : 1.1 Introduction, 1.2 Definition of Matrix, 1.3 Types of Matrices, 1.4 Algebra of Matrices (Algebraic Properties), 1.5 Determinant of A Matrix, 1.6 Adjoint of a matrix, 1.7 System of linear equation, 1.8 Types of system of linear equation
- Linear Programming Problems (LPP) : 2.1 Introduction, 2.2 Basic Term in LPP, 2.3 General Mathematical form of LPP (two variables only), 2.4 Solution of LPP by graphical method
- Correlation and Regression : 3.1 Introduction, 3.2 Correlation, 3.3 Correlation Coefficient, 3.4 Scatter Diagram, 3.5 Types of Correlation, 3.6 Karl Pearson’s Correlation Coefficient, 3.7 Computational Procedure of Correlation Coefficient, 3.8 Rank Correlation, 3.9 Rank Correlation with Ties, 3.10 Regression as Prediction Model, 3.11 Regression Coefficient, 3.12 Properties of Regression coefficient, 3.13 Applications of Regression Coefficient in Genetics
- Index Numbers : 4.1 Meaning of Index Numbers, 4.2 Features of index Numbers, 4.3 Uses of Index Numbers, 4.4 Problems or consideration in the Construction of Index Numbers, 4.5 Types of Index Numbers, 4.6 Important Terms in Index Number, 4.7 Notations in Index Numbers, 4.8 Methods of Index Numbers, 4.9 Cost of Living / Consumer Price Index Number, 4.10 Commonly Used Index Number, 4.11 Practical Examples, 4.12 Exercise
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