The Five-Number Summary of Positions Summarize positions that help to describe center and variability of a distribution. Minimum value First quartile (Q1) Median Third Quartile Maximum Value The Box Plot is a graphic device that visually presents the following elements: the range, the IQR, the median, the quartiles, the minimum (lowest value,) and the maximum (highest value.) The boxplot provides information about the center, spread, and symmetry or skewness of the data. Watch the video in generating the five-number summary and creating a boxplot, https://www.youtube.com/watch?v=39lsUsJsc2c&t=113s, How to Create a Box Plot in Excel. Activity: The dataset below gave summary quantities for blood lead level (in micrograms per deciliter) for a sample of young adults from urban and rural areas. Urban Area: 8.3 0.9 2.9 5.6 5.8 5.4 1.2 1.0 1.4 2.1 1.3 5.3 8.8 6.6 5.2 3.0 2.9 2.7 6.7 3.2 Rural: 4.8 1.4 0.9 10.8 2.4 0.4 5.0 5.4 6.1 2.9 5.0 2.1 7.5 3.4 13.8 1.4 3.5 3.3 14.8 3.7 What to do? Using MS Excel. 1. Summarize the two datasets showing the five-number summary of positions. 2. Create 2 boxplots side by side in one plane. Add pertinent labels in your graph. Note: Name your file as Lastname.Firstname.Boxplot.

MATLAB: An Introduction with Applications
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Author:Amos Gilat
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The Five-Number Summary of Positions Summarize positions that help to describe center and variability of a distribution. Minimum value First quartile (Q1) Median Third Quartile Maximum Value The Box Plot is a graphic device that visually presents the following elements: the range, the IQR, the median, the quartiles, the minimum (lowest value,) and the maximum (highest value.) The boxplot provides information about the center, spread, and symmetry or skewness of the data. Watch the video in generating the five-number summary and creating a boxplot, https://www.youtube.com/watch?v=39lsUsJsc2c&t=113s, How to Create a Box Plot in Excel. Activity: The dataset below gave summary quantities for blood lead level (in micrograms per deciliter) for a sample of young adults from urban and rural areas. Urban Area: 8.3 0.9 2.9 5.6 5.8 5.4 1.2 1.0 1.4 2.1 1.3 5.3 8.8 6.6 5.2 3.0 2.9 2.7 6.7 3.2 Rural: 4.8 1.4 0.9 10.8 2.4 0.4 5.0 5.4 6.1 2.9 5.0 2.1 7.5 3.4 13.8 1.4 3.5 3.3 14.8 3.7 What to do? Using MS Excel. 1. Summarize the two datasets showing the five-number summary of positions. 2. Create 2 boxplots side by side in one plane. Add pertinent labels in your graph. Note: Name your file as Lastname.Firstname.Boxplot.
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