FULLY SOLVED BOOK LASY 5 YEARS PAPERS SOLVED PLUS GUESS
Module-I: Matrices and Determinants Definition of a Matrix, Types of Matrices, Algebra of Matrices, Transpose, Adjoint, Elementary and Inverse of a Matrix. Module-II Solving Linear Equations by Using Matrices, Input-Output Analysis. Application of Matrices for Solution to Simple Business and Economic Problems. Module-III: Role of statistics Numerical Descriptive Measures of Central Tendency and Dispersion and their Implications, Mean, Mode, Median, Variance and Standard Deviation. Module-IV: Correlation Coefficient of Variation. Covariance and Coefficient of Correlation. Visual Explorations using Software like Microsoft Excel/MINITAB. Module-V: Regression Types of Regression Models, Determination of Simple Linear Regression Equation using Least Square Method, Coefficient of Determination, Overview of Partial and Multiple Regressions. Module-VI: Index Numbers Meaning, Types of Index Numbers, Uses of Index Numbers, Construction of Price, Quantity and Volume Indices: Fixed Base and Chain Base Methods. Fisher Ideal Index Number. Proportion, Percentage, Interval, Ratio and Interest. Module-VII: Probability Basic Probability Concepts, Conditional Probability, Marginal Probability and its Uses in Business Decision Making; Bayes’ Theorem and its Applications. Module-VIII: Probability Distributions