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CA Foundation Maths Full Course

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CA Foundation Maths Full Course Video Lecture By Vishal Sharma ( M.Sc )  These Lectures are beneficial for May 21 and Nov 21 Attempts. Study Material will be provided with the course.

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Description

Buy CA Foundation Math Full Course by Vishal Sharma ( M.Sc )| Video Lectures | Pendrive classes | latest Recordings | updated syllabus | Expert Teacher | 24×7 support. Join our Live classes, Online Classes, Offline Classes.

Course Info

Buy CA Foundation Math Full Course by Vishal Sharma ( M.Sc )| Video Lectures | Pendrive classes | latest Recordings. Soft Copy study materials will be provided with the same.

Kit Contents
  • Video Lectures
Batch Recording
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Video Language
  • Hindi Eng Mix
Mode
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  • Pendrive
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  • Mail: info@aiminstitute.co.in

Course Content

CA Foundation Syllabus 2021 for Paper 3 (Business Mathematics, Logical Reasoning and Statistics)

Section A: Business Mathematics

Chapters

Topics

1. Ratio and Proportion, Indices and Logarithms

  • Ratio and Proportion (Business Applications related to Ratio and Proportion)

  • Laws of Indices

  • Exponents and Logarithms and Anti Logarithms.

2. Equations and Matrices

  • Equations: Simultaneous linear equations up to three variables, Quadratic and Cubic equations in one variable.

  • Matrices: Algebra of Matrices, Inverse of a Matrix and determinants, solving system of equations by Cramer’s Rule (involving not more than three variables).

3. Linear Inequalities with Objective Functions and Optimization w.r.t. Objective function.

4. Time value of Money

  • Simple Interest

  • Compound interest

  • Depreciation

  • Effective Rate of Interest

  • Present Value

  • Net Present Value

  • Future Value

  • Perpetuity

  • Annuities

  • Sinking Funds

  • Valuation of Bonds

  • Calculating of EMI

  • Calculations of Returns:

a) Nominal Rate of Return

b) Effective Rate of Return

c) Compound Annual growth rate( CAGR)

5. Permutations and Combinations

Basic concepts of Permutations and Combinations: Introduction, the Factorial, Permutations,

results, Circular Permutations, Permutations with restrictions, Combinations with standard

results

6. Sequence and Series

  • Introduction Sequences

  • Series

  • Arithmetic and Geometric progression

  • Relationship between AM and GM

  • Sum of n terms of special series

7. Sets, Relations and Functions

8. Basic applications of Differential and Integral calculus

(Excluding the trigonometric

applications)

  • Applications of Marginal Cost and Marginal Revenue etc.

Section B: Logical Reasoning

1. Number series, Coding and Decoding and the odd man out.

2. Direction Tests

3. Seating Arrangements

4. Blood Relations

5. Syllogism

Section C: Statistics

1. Statistical description of Data

  • Statistical Representation of Data

  • Diagrammatic representation of data

  • Frequency distribution

  • Graphical representation of Frequency Distribution – Histogram, Frequency Polygon, Ogive, Pie-chart.

2. Measures of Central tendency and Dispersion

  • Measures of Central Tendency and Dispersion: Mean Median, Mode, Mean Deviation

  • Quartiles and Quartile Deviation

  • Standard Deviation

  • Coefficient of Variation

  • Coefficient of Quartile Deviation.

3. Probability

Probability: Independent and dependent events; mutually exclusive events. Total and Compound Probability and Mathematical Expectation.

4. Theoretical Distributions

Theoretical Distributions: Binomial Distribution, Poisson distribution – Basic application

and Normal Distribution – Basic applications.

5. Correlation and Regression

  • Correlation and Regression: Scatter diagram

  • Karl Pearson’s Coefficient of Correlation

  • Rank Correlation

  • Probable Error and Probable limits.

  • Regression lines

  • Regression equations

  • Regression coefficients.

6. Index Numbers and Time Series

  • Index Numbers: Uses of Index Numbers, Problems involved in the construction of Index Numbers, Methods of construction of Index Numbers.

  • Time Series Analysis: Components of Time Series and Calculation of Trend by Moving Average Method.

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