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Normal distributions
infoWhy this? The normal distribution models approximately symmetric, bell-shaped continuous data, linking the mean and standard deviation to expected proportions within intervals. It helps us interpret typical and unusual values while recognising that not all datasets fit this model.
scheduleWhy now? After the discrete binomial model, we extend our understanding of distributions to continuous data and revisit histograms, averages, and dispersion. This supports the interpretation of standardised scores and the quality control applications that follow.