This video tutorial covers key measures of variability in data science, including variance, standard deviation, and the coefficient of variation. It explains the differences between population and sample data formulas, emphasizing the conservative nature of sample calculations. The tutorial also demonstrates how to calculate these measures using R programming, specifically utilizing the S apply function for efficient data manipulation.

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