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