Principal speaker
Associate Professor Sama Low-Choy
This interactive tutorial addresses a fundamental topic in statistics, which is subtle and often overlooked: the meaning of probability.
Understanding probability is essential for any kind of statistical analysis, particularly in today's world where several statistical paradigms co-exist. In their first statistics courses, many people are briefly exposed to probability in the context of: null hypothesis testing (emanating in the 1930s), significance testing (p-values of the 1950s), and classical (aka Frequentist) statistical modelling (producing standard errors and confidence intervals). Probability is key to specifying Bayesian statistical models, which became feasible in the 1990s. Though not always acknowledged, probability also underpins interpretation of machine learning algorithms (of the 21st century) for analysis of big data. Hence understanding probability can enhance all quantitative research, even in mixed (qual and quant) methods contexts.
We will use role-play to help you to think and talk through what probabilities mean, in the context of an environmental dilemma. By getting you involved in dialogues around the trial, we aim to help you become aware of common logical fallacies. Recognizing common misinterpretations of probabilities may help you avoid misconceptions about what statistical analyses can provide and what they mean.
Format: Role play - a mock trial, involving interaction in a large group and discussion in small groups.
Prerequisite: Basic arithmetic, subtraction, muliplication, fractions
Connections: Excellent foundation concepts for any statistical or data science course.
Intended audience: All levels
This session is for current Griffith University staff and students only.
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RSVP
RSVP on or before Wednesday 13 November 2024 09.52 am, by email red@griffith.edu.au , or via https://events.griffith.edu.au/k97OPO