ICWA FOUNDATION MATHS

SECTION A: FUNDAMENTALS OF BUSINESS MATHEMATICS [40 MARKS] 

1.Arithmetic 

  • Ratios and Proportions
  • Simple and Compound interest including application of Annuity
  • Bill Discounting and Average Due Date
  • Mathematical reasoning – basic application

2. Algebra 

  • Set Theory and simple application of Venn Diagram
  • Variation, Indices, Logarithms
  • Permutation and Combinations – basic concepts
  • Linear Simultaneous Equations ( 3 variables only)
  • Quadratic Equations
  • Solution of Linear inequalities (by geometric method only)
  • Determinants and Matrices

3. Calculus 

  • Constant and variables, Functions, Limit & Continuity
  • Differentiability & Differentiation, Partial Differentiation
  • Derivatives – First order and Second order Derivatives
  • Maxima & Minima – without constraints and with constraints
  • Indefinite Integrals: as primitives, integration by substitution
  • Definite Integrals: evaluation of standard integrals, area under curve

SECTION B: FUNDAMENTALS OF BUSINESS STATISTICS [60 MARKS] 

4. Statistical Representation of Data 

  • Diagrammatic representation of data
  • Frequency distribution
  • Graphical representation of Frequency Distribution

5. Measures of Central Tendency and Dispersion 

  • Mean, Median, Mode, Mean Deviation
  • Quartiles and Quartile Deviation
  • Standard Deviation
  • Co-efficient of Variation, Coefficient of Quartile Deviation

6. Correlation and Regression 

  • Scatter diagram
  • Karl Pearson’s Coefficient of Correlation
  • Rank Correlation
  • Regression lines, Regression equations, Regression coefficients

7. Index Numbers 

  • Uses of Index Numbers
  • Problems involved in construction of Index Numbers
  • Methods of construction of Index Numbers

8. Time Series Analysis – basic application including Moving Average 

  • Moving Average Method
  • Method of Least Squares

9. Probability 

  • Independent and dependent events; Mutually exclusive events
  • Total and Compound Probability; Baye’s theorem; Mathematical Expectation

10. Theoretical Distribution 

  • Binomial Distribution, Poisson Distribution – basic application
  • Normal Distribution – basic application