Statistical Literacy

21.10.2019 - 23.10.2019 | 09:00-17:30

April 24, 2017

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.

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