A summary consisting of the minimum value, Q1, median, Q3, and maximum value of a dataset.

The value that marks the 25th percentile of a dataset; the median of the lower half of the data.

The middle value of a dataset when it is ordered from least to greatest; the 50th percentile (Q2).

The value that marks the 75th percentile of a dataset; the median of the upper half of the data.

A graphical representation of the five-number summary, displaying the distribution of data and potential outliers.

The Interquartile Range (IQR) is a measure of statistical dispersion, calculated as the difference between the third quartile (Q3) and the first quartile (Q1).

Outliers are data points that fall outside the upper and lower fences, calculated using the IQR. They are plotted as individual points on a box plot.

In skewed distributions, the median is not in the center of the box, and one whisker is significantly longer than the other. The skew is in the direction of the longer whisker.

The five-number summary provides a concise overview of a dataset's distribution, including its center, spread, and range. It is useful for quickly comparing different datasets.

The length of the box represents the interquartile range (IQR), which contains the middle 50% of the data.

The whiskers extend from the box to the farthest data point that is not considered an outlier. They indicate the spread of the data outside the IQR.

IQR = Q3 - Q1

Upper Fence = Q3 + 1.5 * IQR

Lower Fence = Q1 - 1.5 * IQR