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Boxplot diagram compares temperature data

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Ken Kretsch

This document discusses box and whisker plots and the 5-number summary used to describe data distributions. A box and whisker plot depicts the minimum, lower quartile, median, upper quartile, and maximum of a dataset using a box and whiskers. Outliers are defined as values more than 1.5 times the interquartile range below the first quartile or above the third quartile. The document provides an example comparing temperatures from 2005 and 2008 using a box and whisker plot.

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5-number summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
For example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Boxplot (box and whiskers diagram) ,[object Object],[object Object]
Components ,[object Object],[object Object],[object Object],[object Object]
Outliers ,[object Object],[object Object],[object Object]
Live Example ,[object Object],[object Object],[object Object],[object Object],[object Object]
Your turn ,[object Object],[object Object],[object Object],[object Object],[object Object]
Two Ways to Characterize Data x i < X – 2s x i > X + 2x x i < Q1 – 1.5  IQR x i > Q3 + 1.5  IQR Outliers Distribution spread, frequency diagram, bar chart and Box and whiskers diagram Picture X and s Minimum, first quartile, median, third quartile, maximum Statistics Mean and standard deviation 5-number summary

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Boxplot diagram compares temperature data

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  • 8. Two Ways to Characterize Data x i < X – 2s x i > X + 2x x i < Q1 – 1.5  IQR x i > Q3 + 1.5  IQR Outliers Distribution spread, frequency diagram, bar chart and Box and whiskers diagram Picture X and s Minimum, first quartile, median, third quartile, maximum Statistics Mean and standard deviation 5-number summary