An outlier is a data point that differs significantly from other observations in a dataset. It can indicate variability, errors, or unusual conditions.
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Outliers can affect the mean more than the median of a dataset.
They are often identified using methods such as the IQR (Interquartile Range) or standard deviation.
In stem-and-leaf plots, outliers may appear as isolated values far from other data points.
Box plots visually represent outliers as individual points outside the whiskers.
Outliers can be caused by measurement errors, data entry errors, or genuine variation.
A graphical representation of data that shows the distribution's minimum, first quartile, median, third quartile, and maximum. Outliers are displayed as individual points.
A measure of the amount of variation or dispersion in a set of values. High standard deviation indicates more spread-out data; low indicates clustered data.