SC Describing distributions
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 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. All were developed as part of Pip鈥檚 PhD research: .