Standard deviation is a measure of the spread or variability of numerical data. For categorical data like home wins, you would typically use different measures such as proportions, percentages, …

Standard deviation measures how far apart numbers are in a data set. Variance, on the other hand, gives an actual value to how much the numbers in a data set vary from the mean.

The standard deviation formula may look confusing, but it will make sense after we break it down. In the coming sections, we'll walk through a step-by-step interactive example.

If the standard deviation is low, that means the numbers in your data set are clustered around the mean, whereas if the standard deviation is high, it means the numbers are more spread out …

See how distributions that are more spread out have a greater standard deviation.

What are z-scores? A z-score measures exactly how many standard deviations above or below the mean a data point is.

Find the interquartile range of the data in the dot plot below. Songs on each album in Shane's collection and so let's see what's going on here and like always, I encourage you to take a …

The standard deviation (sigma) is a measure of how much the data is spread out around the mean, not a better guess as to what the mean should be. A small value of sigma indicates that …

Standard Deviation is used to show the variation of the dataset because it provides a measure of how much the data points deviate from the mean, taking into account both the direction and …

The standard deviation formula may look confusing, but it will make sense after we break it down. In the coming sections, we'll walk through a step-by-step interactive example.