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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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** preview**
has intentionally

Recall that the mean is not a resistant measure of the central location but the median is. Both the range

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