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Overview

This course provides a foundation in statistics for students undertaking further studies in many applied fields, including workforce planning. It teaches the fundamentals of data analysis with emphasis on the analysis of data arising from real-life situations across various disciplines. It focuses on the understanding of the concepts of statistics … For more content click the Read More button below. The course teaches the principles of good experimental design, as well as the interpretation and critical evaluation of statistical information presented in the media and in published reports. It introduces a computer software package which is used for data exploration, presentation and analysis. Main topics covered include: gathering, organising and summarising data; using graphical techniques to present statistical information; measures of location and spread; probability; probability distributions such as the normal distribution; introduction to Markov modelling; confidence intervals and hypothesis tests; correlation and simple linear regression.

Delivery

Fully online - Standard (usually weekly or fortnightly)

Fees

Pre-2019 Handbook Editions

Access past handbook editions (2018 and prior)