How To Draw The Box Plot Corresponding To The Given Five-number Summary
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Section iii.five: The Five-Number Summary and Boxplots
Objectives
By the cease of this lesson, you will be able to...
- compute the 5-number summary
- draw and translate boxplots
For a quick overview of this department, watch this short video summary:
The Five-Number Summary
The five-number summary of a set of data consists of the smallest data value, Qane, the median, Q3, and the largest value of the data.
Example 1
To illustrate, let's again look at those examination scores from Example 4 in Department iii.4.
48 | 57 | 58 | 65 | 68 | 69 | 71 | 73 | 73 |
74 | 75 | 77 | 78 | 78 | 78 | 79 | 80 | 85 |
87 | 88 | 89 | 89 | 89 | 95 | 96 | 97 | 99 |
Find the five-number summary.
[ reveal answer ]
From Case 4 in Section 3.4, we already know that Q1 = 71, median 78, and Q3 = 89. We only need the maximum and minimum, so the five-number summary is:
minimum = 48
Q1 = 71
median 78
Q3 = 89
maximum = 99
Boxplots
Using the five-number summary and the fences, nosotros can create a new graph called a boxplot.
Drawing a Boxplot
- Step 1: Determine the 5-number summary and the lower and upper fences.
- Step 2: Draw a horizontal line and label it with an appropriate scale.
- Pace 3: Draw vertical lines at Q1 , Chiliad, and Q3. Enclose these vertical lines in a box.
- Step four: Depict a line from Q1 to the smallest data value that is within the lower fence. Similarly, depict a line from Q3 to the largest value that is within the upper argue.
- Step v: Any values exterior the fences are outliers and are marked with an asterisk (*).
A typical boxplot volition wait something like this:
Case 2
To illustrate, let'south again expect at those exam scores from Example 4 in Section 3.4.
48 | 57 | 58 | 65 | 68 | 69 | 71 | 73 | 73 |
74 | 75 | 77 | 78 | 78 | 78 | 79 | eighty | 85 |
87 | 88 | 89 | 89 | 89 | 95 | 96 | 97 | 99 |
Take a moment and try to sketch a boxplot of this data prepare, following the description above.
[ reveal answer ]
Using the 5-number summary from Example 1 above and the outlier calculation from Instance v in Section iii.4, we have the following information:
minimum = 48
Qone = 71
median 78
Q3 = 89
maximum = 99
Lower fence = 44
Upper contend = 116
A boxplot would so look something like this:
Engineering
Here's a quick overview of how to create box plots in StatCrunch.
- Enter or import the data.
- Select Graphics > Box Plot.
- Select the column(south) you want to create a box plot for.
- Click Next.
- Check "Use fences to place outliers" and click Adjacent.
- Enter any modifications and click Next.
- Choose a color scheme, if you lot wish, and click Create Graph!
- You can then choose Options > Copy to copy the box plot for apply elsewhere.
| You tin can likewise visit the video page for links to come across videos in either Quicktime or iPod format. |
Boxplots and Distribution Shape
The last affair nosotros want to talk about in Chapter iii is the human relationship between the shape of a boxplot and the shape of the distribution.
In Section two.2, nosotros talked about distribution shape, showing the following four standards:
Let's now see how these are related to boxplots. Here's some data from your text:
Symmetric distributions
Distribution | Boxplot |
Qone is equally far from the median every bit Q3 is | The median line is in the center of the box |
The minimum is every bit far from the median as the maximum is | The left whisker is equal in length to the correct whisker |
Skewed left distributions
Distribution | Boxplot |
Q1 is farther from the median every bit Q3 is | The median line is to the correct of heart in the box |
The minimum is further from the median every bit the maximum is | The left whisker is longer than the right whisker |
Skewed right distributions
Distribution | Boxplot |
Q1 is closer to the median than Q3 is | The median line is to the left of center in the box |
The minimum is closer to the median as the maximum is | The left whisker is shorter than the correct whisker |
Source: Instructor Resource; Statistics: Informed Decisions Using Data
Author: Michael Sullivan Iii
© 2007, All right reserved.
Source: https://faculty.elgin.edu/dkernler/statistics/ch03/3-5.html
Posted by: mccrayregractools1976.blogspot.com
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