Describing distributions – Pip Arnold
Pip’s workshop engaged participants in the learning process for developing the concept of distributional shape. Distributional shape is the foundation for describing the distribution of data for a specific variable. Onto distributional shape, we can attach other descriptors such as signal and noise, contextual knowledge and variability.
A teaching and learning sequence for developing the concept of distributional shape, the distribution description framework and criteria for judging the quality of distribution description based on SOLO taxonomy is shared in the link below. All materials, shared in the link below, were developed as part of Pip’s PhD research: Statistical investigative questions. An enquiry into posing and answering investigative questions from existing data.
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