By the end of this course, you will:

• Have developed key ideas from Statistics 1 that are accessible to a student with a moderate mathematical competence

• be able to routinely apply a variety of methods for explaining, summarising and presenting data and interpreting results clearly using appropriate diagrams, titles and labels when required

• explain the fundamentals of statistical inference and apply these principles to justify the use of an appropriate model and perform tests in a number of different settings

• demonstrate understanding that statistical techniques are based on assumptions and the plausibility of such assumptions must be investigated when analysing real problems.

● Sampling distributions of statistics

● Point estimation I

● Point estimation II and interval estimation

● Hypothesis testing

● Analysis of variance (ANOVA)