Lesson 2.3 - Box Plots STAT 500 - Applied Statistics

# Lesson 2.3 - Box Plots STAT 500 - Applied Statistics - STAT...

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STAT 500 - Applied Statistics ANGEL Department of Statistics Eberly College of Science Home // Lesson 2 - Summarizing Data: Measures of Central Tendency and Measures of Variability, Box Plot Lesson 2.3 - Box Plots Submitted by gfj100 on Mon, 05/24/2010 - 14:08 Unit Summary How to Compute a Five Number Summary How to Compute IQR Skeletal Box Plot Box Plot Reading Assignment An Introduction to Statistical Methods and Data Analysis , chapter 3.6. How to Compute a Five Number Summary Ponder the following, then click the icon to the left to display the statistical application example. We want a graph that is not as detailed as a histogram, but still shows: 1. the skewness of the distribution 2. the central location 3. the variability The skeletal box plot (box-and-whiskers plot). We need: min, Q 1 (lower quartile), Q 2 (median), Q 3 (upper quartile), and max. This list is also called the five number summary. Note: We do not follow our textbook's way to calculate Q 1 , Q 2 , and Q 3 . The results may sometimes be different from the results in our textbook, but will always be the same as Minitab's result.

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Recall that the mean is not a resistant measure of the central location but the median is. Both the range
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## This note was uploaded on 09/10/2010 for the course STAT 500 at Penn State.

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Lesson 2.3 - Box Plots STAT 500 - Applied Statistics - STAT...

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