Mathematics (Statistics)

Course summary

Statistics is used to research, model, understand, analyse and predict data for situations which involve uncertainty or variability. Learners will work with real data sets. The subject is taught in a practical way, with multiple mini experiments, practical activities and opportunities to collect data and investigate problems and their solutions using different methods of sampling. The course builds on the topic of data handling, practical applications of correlation and regression, including their application in the world of business. Probability theory is expanded with the introduction of binomial and normal distribution. We also study a variety of different hypothesis tests. The main topics in the specification are listed below: • Numerical measures, graphs and diagrams • Probability • Sampling • Discrete probability distributions – Binomial, Poisson • Continuous probability distributions – Normal, Exponential • Correlation and regression • Hypothesis tests for association • Experimental design • One sample hypothesis tests median/mean • Two sample hypothesis tests median/mean • Confidence intervals • Goodness of fit • Analysis of variance