1. Solve two-variable simultaneous linear equations and interpret graphs of linear equations.
2. Solve quadratic equations.
3. Understand the concept of fixed cost, variable cost, contribution margin, profit, sales revenue and single product break-even analysis.
4. Understand the concept of marginal revenue, marginal cost and marginal profit and profit maximization output.
5. Identify the arithmetic and geometric progression and apply in relevant business situations.
6. Formulate a system of linear programming for a business problem.
7. Identify constraints, feasible region, cost minimization or profit maximization functions, no feasible solution using linear programming.
8. Prepare a graphical solution of a linear programming problem.
1. Apply simple and compound interest rate on single or series of amounts to find out interest amount and future values.
2. Apply discount rate on single or series of amounts including perpetuity to find out present values.
3. Understanding of how financial mathematics is used for investment appraisal.
4. Calculate payback period and interpret the results obtained.
5. Calculate the net present value (NPV) of future cash flows.
6. Calculate internal rate of return on a project.
1. Understand the concept of population, sample, sample selection, data collection methods, data & its types, and different ways to present data.
2. Summarize and present data by using different arrays, charts, graphs and frequency distributions.
3. Calculate various measures of central tendency and interpret the results.
4. Identify the characteristics and measures of dispersion. Calculate and interpret relative and absolute measure of dispersion.
5. Discuss the index number and its types. Calculate various weighted and unweighted index numbers and interpret the results.
6. Discuss the practical application of index number such as concept of Inflation, purchasing power, real and nominal wages.
7. Explain scatter diagrams their construction, uses and limitations.
8. Explain the concept of regression lines and their uses and limitations.
9. Calculate a linear regression line (line of best fit) using least squares and use it for forecasting.
10. Calculate and discuss correlation coefficients, rank correlation coefficients and coefficient of determination.
1. Calculate the total number of possible outcomes and selections from a set of data using counting techniques.
2. Discuss and compute probability using different techniques.
3. Understanding and business application of binomial, hyper geometric and poison distribution.
4. Understanding and business application of normal distribution.
5. Calculate and interpret expected value and its use in business problems.
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Master the mathematical and statistical tools essential for business decision-making. This course covers everything from basic algebra and financial mathematics to data analysis and probability, ensuring you can handle numerical data with precision.