The boxplot of the passage yards data and identify the outliers present in the data.
The boxplot is:
There are two outliers present in the data.
Given information:
The passing yardage of Peyton Manning for 13 seasons as Colt and 4 as a Bronco.
Year | Yard |
1998 | 3739 |
1999 | 4135 |
2000 | 3313 |
2001 | 4131 |
2002 | 4200 |
2003 | 4267 |
2004 | 4557 |
2005 | 3747 |
2006 | 4397 |
2007 | 4040 |
2008 | 4002 |
2009 | 4500 |
2010 | 4700 |
2011 | Injured |
2012 | 4659 |
2013 | 5477 |
2014 | 4727 |
2015 | 2249 |
Concept Used:
The boxplot is created in the following steps:
Step 1: Arrange the data in ascending order.
Step 2: Compute the quartiles of the data as
Step 3: Consider the data on y-axis and plot the quartiles to obtain the box.
Step 4: Now compute the lower limit and upper limit to find the length of whiskers as follows,
Step 5: Plot the limits and connect the points with the box obtained using the quartiles.
Plot:
The boxplot created using the above steps is:
Outliers:
The data points that lie outside the whiskers on both sides are identified as outliers. Here,
Chapter 10 Solutions
PRECALCULUS:GRAPHICAL,...-NASTA ED.
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