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BUSINESS MATHEMATICS & STATISTICS - LEVEL 1
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1.1.1 The order of mathematical operations and the use of brackets
1.1.1 BODMAS Questions
1.1.2 Number Systems
1.2 Factorization
1.3 Ratios, Proportions, Percentage, Mark Up, Discount and Margin
1.4 Equations - Techniques for solving Linear, Quadratic and Simultaneous Equations
1.5 Arithmetic and Geometric Sequences
1.6 Impact and Variations of numbers related to business operation
1.7 Inequalities
2.1 Discounting and Time value of Money
2.1 Discounting and Time value of Money
2.3 Effective Interest Rate
2.4 Present and Future Value (Discounting and compounding)
2.5 Terminal Value of Investment and Size of the investment
2.6 Investment Appraisal using Net Present Value (NPV) and its interpretation
2.7 Perpetuity and Annuities
2.8 Applications of Leases, Mortage and Loans with a loan Amortization Schedule
3.1 Differentiation and Integration
3.2 Supply, Demand, Cost , Revenue and Profit Functions
3.3 Break Even Point (BEP)
3.4 Arriving Marginal Cost and Marginal Revenue using Differentiation
3.5 Arriving Total Cost and Total Revenue using Integration
3.6 Profit Maximization and Cost Minimization
4.1 Data and Information
4.2 Primary and Secondary Data
4.3 Sampling Methods
4.4 Graphs and Charts for Business Presentations
4.5 Presentation of Frequency Distribution
4.6 Measures of Central Tendency
4.7 Skewness of Data Distribution
4.8 Measures of Spread (Range, Variance and Standard Deviation
4.9 Relative Measures of Spread (Coefficient of Variance)
5.1 Scatter Diagram
5.2 Correlation
5.3 Linear Regression
5.4 Forecasting using Regression Mode
5.5 Coefficient of Determination
5.6 Interpretation of Regression Outputs
6.1 Basics of Set Theory
6.2 Basic Concepts of Probability
6.3 Conditional Probability
6.4 Rules of Probability
6.6 Random Variables and Probability Distributions
6.7 Normal Distribution and its applications
6.8 Central Limit Theorem and Sampling Distribution
7.1 Index numbers (Price & Quantity Relatives, Simple and Weighted Aggregate Indices)
7.2 Components of Time Series (Trend & Seasonal, Cyclical & Irregular Variations)
7.3 Estimation of Trend (Straight Line Trend and Moving Averages)
7.4 Multiplicative Model of Time Series
Chapter - 1 Basic Mathematics for Business -15%
1.1.1 The order of mathematical operations and the use of brackets
Preview
1.1.1 BODMAS Questions
Preview
1.1.2 Number Systems
Preview
1.2 Factorization
1.3 Ratios, Proportions, Percentage, Mark Up, Discount and Margin
1.4 Equations - Techniques for solving Linear, Quadratic and Simultaneous Equations
1.5 Arithmetic and Geometric Sequences
1.6 Impact and Variations of numbers related to business operation
1.7 Inequalities
Chapter - 2 Financial Mathematics for Business – 20%
2.1 Discounting and Time value of Money
2.1 Discounting and Time value of Money
2.3 Effective Interest Rate
2.4 Present and Future Value (Discounting and compounding)
2.5 Terminal Value of Investment and Size of the investment
2.6 Investment Appraisal using Net Present Value (NPV) and its interpretation
2.7 Perpetuity and Annuities
2.8 Applications of Leases, Mortage and Loans with a loan Amortization Schedule
Chapter - 3 Financial Operative Measures for Business - 10%
3.1 Differentiation and Integration
3.2 Supply, Demand, Cost , Revenue and Profit Functions
3.3 Break Even Point (BEP)
3.4 Arriving Marginal Cost and Marginal Revenue using Differentiation
3.5 Arriving Total Cost and Total Revenue using Integration
3.6 Profit Maximization and Cost Minimization
Chapter - 4 Data Presentation and Descriptive Measures - 15%
4.1 Data and Information
4.2 Primary and Secondary Data
4.3 Sampling Methods
4.4 Graphs and Charts for Business Presentations
4.5 Presentation of Frequency Distribution
4.6 Measures of Central Tendency
4.7 Skewness of Data Distribution
4.8 Measures of Spread (Range, Variance and Standard Deviation
4.9 Relative Measures of Spread (Coefficient of Variance)
Chapter - 5 Comparing Two Quantitative Variables - 15%
5.1 Scatter Diagram
5.2 Correlation
5.3 Linear Regression
5.4 Forecasting using Regression Mode
5.5 Coefficient of Determination
5.6 Interpretation of Regression Outputs
Chapter 6 - Probability and its Applications – 15%
6.1 Basics of Set Theory
6.2 Basic Concepts of Probability
6.3 Conditional Probability
6.4 Rules of Probability
6.6 Random Variables and Probability Distributions
6.7 Normal Distribution and its applications
6.8 Central Limit Theorem and Sampling Distribution
Chapter 7 - Index Numbers and Forecasting – 10%
7.1 Index numbers (Price & Quantity Relatives, Simple and Weighted Aggregate Indices)
7.2 Components of Time Series (Trend & Seasonal, Cyclical & Irregular Variations)
7.3 Estimation of Trend (Straight Line Trend and Moving Averages)
7.4 Multiplicative Model of Time Series
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