**Matrices**
- Matrices Introduction
- Deferent Types of matrices

**Matrix Multiplication, Arithmetical Operations, Matrix Determinants, Inverse of a Matrix**
**Matrix algebra**
- Addition, subtraction and multiplication of matrices
- Symmetric and skew Symmetric matrices
- Determinant of a matrix
- Inverse of a matrix
- Rank of a matrix

**Solution of Simultaneous Equations Using Matrices**
- Solution of Simultaneous linear equations using matrices
- Matrix inversion method
- Cramer’s rule

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**Sets**
- Introduction and definition
- Different types of sets
- Union, intersection and complement of a set
- Difference of two sets
- Venn diagram

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**Basic Probability Concepts – Addition and Multiplication Theorems of Probability, Marginal, Joint and Conditional Probability**
**Probability**
- Definitions –random experiment, sample space events etc.
- Statement of Addition theorem and multiplication theorems
- Problems based on the above theorems
- Conditional probability

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**Baye’s Theorem and its Business Applications**
**Probability**
- Inverse Probability
- Bayes theorem and its applications in business

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**Correlation: Different Types of Correlation, Karl Pearson’s Correlation Coefficient, Spearman’s Rank Correlation Coefficient, Concurrent Deviation Method, Coefficient of Determination**
**Correlation**
- Introduction
- Types
- Coefficient of correlation
- Measurement of correlation
- Scatter Diagram
- Karl Pearson’s coefficient of correlation
- Rank correlation
- Coefficient of Variation
- Properties of correlation coefficient

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**Regression Analysis: Line of Best Fit, Least Square Method, Business Applications.**
**Correlation and regression**
- Regression –Introduction and definition
- Types of regression
- Line of best fit
- Regression equations
- Properties of regression lines and regression coefficients
- Standard error of estimate
- Simple linear regression
- Problems based on linear regression

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**Time Series Analysis: Different Components of Time Series, Application of Time Series in Business Forecasting**
**Time Series Analysis**
**Introduction and definitions**
**Various components of time series**
**Determination of trend by**
- Graphical method
- Moving average method
- Least Square method
**Calculation of seasonal indices**
**Link relative method**

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