Standard Deviation and Distribution

A measure of the amount of variation or dispersion in a set of values.

A data point that differs significantly from other observations in a dataset.

A distribution where the tail on the left side is longer or fatter than the right side.

A distribution where the tail on the right side is longer or fatter than the left side.

A distribution where the left and right sides are mirror images of each other.

By calculating the interquartile range (IQR) and determining if any points fall outside 1.5 times the IQR above the third quartile or below the first quartile.

To quantify the amount of variation or dispersion in a set of data points.

The mean provides a measure of central tendency, while the standard deviation indicates how spread out the values are around the mean.

It means that the data points are not evenly distributed around the mean, leading to a longer tail on one side.

The standard deviation (σ) is calculated as the square root of the variance.