$61.48

Clear

OR

Take 7 Day Free Trial

AFC 3 – Quantitative Methods (Regular/March 2021)

By Muhammad Aamir
Take this course to clear all your concepts and double your chances to pass exams!

COURSE DESCRIPTION

Quantitative Methods (AFC-03) course provides a strong foundation in mathematics and statistical theory as the basis for growth over a professional career. This course provides a reinforcement of mathematical & statistical computations. It discusses how to process and interpret information to arrive at logical conclusions to common business math applications. It helps to understand the important role that math & stats plays in all facets of the business world making business decisions.

KEY FEATURES

  • Comprehensive Course Coverage
  • Lecture explanation through animations
  • Detailed week-wise study plans
  • All-inclusive detailed study material
  • Engaging lectures recorded and updated on Learning Glass Board
  • Sufficient practice of MCQs & MTQs
  • 3 Mock tests.

INSTRUCTOR

COURSE CURRICULUM

Basic Mathematics:

Elementary mathematical operations

  • Brackets
  • Parts of a whole – fractions
  • Operations involving fractions

Coordinate system and equations of a straight line

  • Slope – intercept form of the equation of a straight line
  • Slope (gradient)

Solving equations

  • Simultaneous equations
  • Quadratic equations
  • Exponential & Logarithmic equations

Mathematical progression

  • Arithmetic
  • Geometric

Financial mathematics

  • Compounding
  • Discounting

Linear programming

  • Linear Inequalities
  • Linear programming of business problems

Calculus

  • Differentiation
  • Turning points, maxima, minima and points of inflection

Matrices and determinants

  • Fundamentals
  • (2 x 2) & (3 x 3) Matrices

 

STATISTICS:

Collection, tabulation and presentation of data

Introduction

Different types of data

Data collection

Organising and summarising data

Frequency distributions

Tally

Class boundaries

Statistical measures of data

Measures of central tendency

Measures of dispersion

Skewness

Regression and correlation

  • Linear regression analysis
  • Correlation and the correlation coefficient

Indices

Index numbers

Weighted indices

Deflating and inflating data

Counting methods and probability

  • 1 Counting the number of possible outcomes
  • Probability

Probability distributions

  • Binomial distribution
  • Hyper-geometric distribution
  • Poisson distribution

Sampling and sampling distributions

  • Sampling distribution of the mean
  • Sampling distribution of a proportion
  • Small samples

Hypothesis testing

  • Introduction to significance testing
  • Significance tests of means
  • Significance tests of the difference between two means
  • Significance tests of a proportion
  • Significance tests involving differences of proportions
  • Significance tests of small samples

Chi-square testing

STUDENTS’ TESTIMONIALS