Foundations in Statistical Thinking - Session 2: Expanding Your Statistical Universe: Transitioning From Hypothesis Testing to Statistical Modelling
Pre-requisites: “Understanding Probability” workshop or equivalent background
|Date:||01 September 2020|
|Time:||10:00 AM - 2:00 PM|
|Contact:||Workshop abstracts and details about how to apply are available here.|
|Save to calendar:||Download|
Places for these workshops are very limited and only available to researchers from QCIF member institutions.
Many researchers find themselves in the situation where they need to estimate a proportion of things – for instance of people, events, organizations, locations – that have something special about them. Examples of such a proportion might include: the percentage of people with an issue or needs regarding health, justice or education; or the proportion of locations suffering from environmental impacts, or where rare or pest species occur.
Traditional statistics courses often introduce just a single approach of null hypothesis significance testing (NHST) that can be calculated “on the back of an envelope”: binomial test of proportions, or chi-squared tests. This has led to generations of researchers who are unaware of alternative statistical approaches that may be better suited to a particular applied problem, and means that inferences from NHST are often mis-interpreted.
In this seminar we walk you through the appropriate use, and practical ramifications, of using different statistical paradigms to approach a simple problem involving inference about a probability. We use an interactive exercise designed to engage multiple senses, to help through the rather abstract notions involved.