Level 4 – Page 4 – Accountants Institute
Exam Unit: Business Maths & Quantitive Methods (1.3)

Learning Outcome

To demonstrate an understanding of analytical techniques and mathematical skills, and an ability to interpret statistical and mathematical information for management decisions. To ascertain knowledge of business mathematics, descriptive statistics, decision analysis, forecasting and related techniques.

Basics:
1. Basic Mathematics
2. Fractions
3. Powers and Roots
4. Log Tables
5. Scientific Calculator
6. Mental Arithmetic Percentages, Ratios and Proportions:
1. Percentages
2. Ratios
3. Proportions
4. The whole and the PartAccuracy:
1. Rounding
2. Significant Figures
3. Accuracy and Approximation
4. ErrorsAlgebra:
1. Algebra and Formulae
2. Equations
3. Simultaneous Equations
4. Linear Equations and Graphs
5. Quadratic Equations
6. Graphs of the Quadratic FunctionFinancial Mathematics:
1. Sequence and Series
2. Arithmetical Progressions
3. Geometrical Progressions
4. Simple and Compound Interest
5. Present Values and Discounting
6. Project AppraisalData Collection:
1. Data and Information
2. Population and Sample
3. Statistics
4. Nature of Statistical Data
5. Tabulation of Data
6. Frequency DistributionPresentation of Data:
1. Diagrammatic Representation of Data
2. Graphical Representation of Data
3. Histograms and Ogives
4. Data in Business Reports
Averages:
1. Averages
2. Arithmetic Mean
3. Median
4. Mode Variation:
1. Measuring Dispersion
2. Range
3. Semi-Interquartile Range
4. Standard Deviation
5. Symmetry and SkewnessIndex Numbers:
1. Index Numbers
2. Simple Indices
3. Weighted Indices
4. Chain Base Index Numbers
5. Index Numbers and InflationProbability:
1. Probability
2. Laws of Probability
3. Conditional ProbabilityExpected Value and Decisions:
1. Expected Value (EV)
2. Decision AnalysisNormal Distribution:
1. Properties of Normal Distribution
2. Combined Normal DistributionsCorrelation and Regression:
1. Scatter Diagrams
2. Regression
3. Correlation
4. Rank Correlation
5. ForecastingTime Series:
1. Time Series
2. Analysis of Time Series