1. Mathematical Modelling & Measures of Location and Spread - Mathematical models, measures of central tendency, variance, standard deviation

2. Representations of Data - Histograms, outliers, box plots, stem-and-leaf diagrams, skewness, data comparison

3. Probability & Correlation Regression - Probability concepts, Venn diagrams, tree diagrams, linear regression, correlation coefficient

4. Discrete Random Variables - Cumulative distribution function, expected value, variance, solving probability problems

5. Normal Distribution - Standard normal distribution, probability tables, finding mean and standard deviation

6. Exam Practice & Distribution Tables - Review exercises, statistical tables for probability calculations