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Describing data via summary statistics and their relations with statistical distributions
Samples and populations are often made of lots of individual (observational) units and their associated information (observations, variables).
We need to be able to describe samples by summary statistics (mean, median, variance, etc) so that these summaries can serve as an estimate of the same summaries for their statistical populations.
In this second lecture on describing data, we will look into the spread statistics for the median. We will cover in greater details the properties of the different location and spread statistics and how they relate to the shape of frequency (statistical) distributions.