Statistical Literacy

25.10.2018 - 27.10.2018 | 09:00-17:30

Topics covered:

• Good experimental design and sources of bias.
• Systematic versus random error.
• The distinction between samples and populations.
• The most appropriate ways to describe samples.
• Estimation and the principle of hypothesis testing.
• The Standard Error of the Mean and confidence intervals.
• Understanding and reporting uncertainty.
• Power, Type I and type II errors.
• Standard parametric tests and their interpretations, including p-values, test statistics and associated distributuions.

The course emphasises on hands-on learning using custom interactive web apps that demonstrate statistical concepts in real-time.
In-class exercises and quizzes reinforce student understanding.
The course implements a single story-line throughout the workshop allowing students to see how statistics is involved at every step of the scientific method.