• 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
 
  • Sets
    • Introduction and definition
    • Different types of sets
    • Union, intersection and complement of a set
    • Difference of two sets
    • Venn diagram
 
  • 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
         
  • Baye’s Theorem and its Business Applications
    • Probability
      • Inverse Probability
      • Bayes theorem and its applications in business
   
  • 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
   
  • 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
           
  • 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
          • Simple average method
        • Link relative method