Section 3.4: Five%Number Summary, Slides of Statistics

Example 2 Find the five#number summary for the Chicago BullVs salaries. ... A modified box and whisker plot is a graphical representation of Q ,Q!, the.

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Section 3.4: Five-Number Summary
1 The Five Number Summary
De…nition 1 For any set of data the ve-number summary is, in order, the
ve summary statistics:
minimum; Q1; median; Q3; maximum:
Example 2 Find the ve-number summary for the Chicago Bull’s salaries.
Obs
Player
Salary
1
Michael Jordan
$33,140,00 0
2
Ron Harper
$4,560,000
3
Toni Kukoc
$4,560,000
4
Dennis Rodman
$4,500,000
5
Luc Longley
$3,184,900
6
Scottie Pipp en
$2,775,000
7
Bill Wennington
$1,800,000
8
Scot t Burrell
$1,430,000
9
Randy Brown
$1,260,000
10
Robert Parish
$1,150,000
11
Jason Caffey
$850,920
12
Steve Kerr
$750,000
13
Keith Booth
$597,600
14
Jud Buechler
$500,000
15
Joe Kleine
$272,250
Chicago Bulls Salaries 1997-1998 Season
The ve number summary for the player salaries for the 1997-1998 Chicago
Bulls is
Excel TI-83/84
minimum $272,250 $272,250
Q1$800,460 $750,000
median $1,430,000 $1,430,000
Q3$3,842,450 $4,500,000
maximum $33,140,000 $33,140,000
1
pf3
pf4

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Section 3.4: Five-Number Summary

1 The Five Number Summary

DeÖnition 1 For any set of data the Öve-number summary is, in order, the Öve summary statistics:

minimum; Q 1 ; median; Q 3 ; maximum:

Example 2 Find the Öve-number summary for the Chicago Bullís salaries.

Obs Player Salary 1 Michael Jordan $33,140, 2 Ron Harper^ $4,560, 3 Toni Kukoc $4,560, 4 Dennis Rodman $4,500, 5 Luc Longley^ $3,184, 6 Scottie Pippen^ $2,775, 7 Bill Wennington^ $1,800, 8 Scott Burrell^ $1,430, 9 Randy Brown^ $1,260, 10 Robert Parish^ $1,150, 11 Jason^ Caffey^ $850, 12 Steve Kerr $750, 13 Keith Booth^ $597, 14 Jud Buechler^ $500, 15 Joe Kleine $272,

Chicago Bulls Salaries 1997-1998 Season

The Öve number summary for the player salaries for the 1997-1998 Chicago Bulls is

Excel TI-83/ minimum $272,250 $272, Q 1 $800,460 $750, median $1,430,000 $1,430, Q 3 $3,842,450 $4,500, maximum $33,140,000 $33,140,

Analysis Variable : Salary Salary

Minimum

Lower Quartile Median

Upper Quartile Maximum Mean Std Dev 10th Pctl 80th Pctl 272250.00 750000.00 1430000.00 4500000.00 33140000.00 4088711.33 8182474.38 500000.00 4530000.

SAS output

2 IQR

The range is very susceptible to unusually large or small values in a date set. A single extreme value skews the range of a set of data. The interquartile range (IQR) is much more resistant to skew. The IQR measures the range of the central 50% of the data.

DeÖnition 3 For a given set of data, the IQR is the (positive or occasionally

  1. di§erence between Q 3 and Q 1 in a quantitative data set.

Example 4 For the player salaries of the 1997-1998 Chicago Bulls the range is 33140000 272250 = 32 867 750 and the IQR = 3842450 800460 = 3041 990.

3 Outliers and IQR

We consider values that are unusually large or small compared to the rest of a data set to be outliers. We formally deÖne unusually large or small via the IQR.

lower outlier boundary = Q 1 1 : 5  IQR

upper outlier boundary = Q 3 + 1: 5  IQR Values that fall outside these boundaries are outliers.

Problem 5 Determine the salary outliers for the í97-í98 Bulls roster.

Weíve already determined that Q 1 = $800; 460 , Q 3 = $3; 842 ; 450 and IQR = 3842450 800460 = 3041 990. So, the lower outlier boundary is 800460 1 : 5  3041 990 = 3762500. Clearly, nothing falls below this lower outlier boundary. The upper outlier boundary is 3842450 + 1: 5  3041 990 =

  1. Only Jordanís salary is larger than $8,405,400. The only outlier is this data set is the salary for Michael Jordan.

Cancer

Disease

Vascular

Cerebral

Disease

Heart

Coronary Other Unknown

100

200

300

400

500

Cholesterol

Distribution of Cholesterol by Death Cause

The modiÖed box and whisker plot illustrates outliers. Another type of box plot is the standard box plot. The whiskers in the standard box plot represent the min and max values in the data set. Thus, no outliers are represented. My preference is for the modiÖed box and whisker plot (which are the examples given above).

5 Exercises

  1. Kokoska 3rd edition Section 3.4: 3.110a, 3.114a, b,