Foundations in Statistical Thinking - Session 1: Understanding Probability
This interactive tutorial will address a fundamental, subtle and often overlooked topic in statistics: the logic of probability.
|Date:||18 August 2020|
|Time:||10:00 AM - 2:00 PM|
|Contact:||Workshop abstracts and details about how to apply are available here.|
|Save to calendar:||Download|
Understanding probability is an essential building block for anyone doing statistics in the 21st Century, in an age when we need to be conversant in multiple statistical paradigms. These include null hypothesis significance testing, classical or Frequentist statistical modelling, machine learning algorithms, and Bayesian statistical modelling.
Questions explored include: What is probability? What does it mean, exactly? What are common mis-interpretations and how can I avoid them? What is Bayes’ theorem, and why is understanding it important to differentiating between different statistical approaches?
We will use role-play to help you really think through what probabilities mean, and to become aware of and learn how to avoid common logical fallacies that can lead to misinterpretations of probabilities and misconceptions about what statistical analysis provides.
Relevant for any quantitive research project, this four hour introductory workshop requires nothing more than basic maths knowledge and a willingness to join in with group activities.