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CHAPTER 4
Measures of Dispersion
In This Presentation
 Measures of dispersion.
 You will learn
 Basic Concepts
 How to compute and interpret the Range
(R) and the standard deviation (s)
The Concept of Dispersion
 Dispersion = variety, diversity,
amount of variation between scores.
 The greater the dispersion of a
variable, the greater the range of
scores and the greater the differences
between scores.
The Concept of Dispersion:
Examples
 Typically, a large city will have more
diversity than a small town.
 Some states (California, New York)
are more racially diverse than others
(Maine, Iowa).
 Some students are more consistent
than others.
The Concept of Dispersion:
Interval/ratio variables
 The taller curve has less dispersion.
 The flatter curve has more dispersion.
The Range
 Range (R) = High Score – Low Score
 Quick and easy indication of
variability.
 Can be used with ordinal or interval-
ratio variables.
 Why can’t the range be used with
variables measured at the nominal
level?
Standard Deviation
 The most important and widely used
measure of dispersion.
 Should be used with interval-ratio
variables but is often used with
ordinal-level variables.
Standard Deviation
 Formulas for variance and standard
deviation:
Standard Deviation
 To solve:
 Subtract mean from each score in a
distribution of scores
 Square the deviations (this eliminates
negative numbers).
 Sum the squared deviations.
 Divide the sum of the squared deviations
by N: this is the Variance
 Find the square root of the result.
Interpreting Dispersion
 Low score=0, Mode=12, High score=20
 Measures of dispersion: R=20–0=20, s=2.9
Years of Education (Full Sample)
0
100
200
300
400
500
600
700
800
900
Interpreting Dispersion
 What would happen to the dispersion
of this variable if we focused only on
people with college-educated
parents?
 We would expect people with highly
educated parents to average more
education and show less dispersion.
Interpreting Dispersion
 Low score=10, Mode=16, High Score=20
 Measures of dispersion: R=20-10=10, s=2.2
Years of Education (Both Parents w BA)
0
5
10
15
20
25
30
35
40
45
0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Interpreting Dispersion
 Entire sample:
 Mean = 13.3
 Range = 20
 s = 2.9
 Respondents with college-educated
parents:
 Mean = 16.0
 R = 10
 s =2.2
Interpreting Dispersion
 As expected, the smaller, more
homogeneous and privileged group:
 Averaged more years of education
 (16.0 vs. 13.3)
 And was less variable
 (s = 2.2 vs. 2.9; R = 10 vs. 20)
Measures of Dispersion
 Higher for more diverse groups (e.g.,
large samples, populations).
 Decrease as diversity or variety
decreases (are lower for more
homogeneous groups and smaller
samples).
 The lowest value possible for R and s
is 0 (no dispersion).

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6182494.ppt

  • 2. In This Presentation  Measures of dispersion.  You will learn  Basic Concepts  How to compute and interpret the Range (R) and the standard deviation (s)
  • 3. The Concept of Dispersion  Dispersion = variety, diversity, amount of variation between scores.  The greater the dispersion of a variable, the greater the range of scores and the greater the differences between scores.
  • 4. The Concept of Dispersion: Examples  Typically, a large city will have more diversity than a small town.  Some states (California, New York) are more racially diverse than others (Maine, Iowa).  Some students are more consistent than others.
  • 5. The Concept of Dispersion: Interval/ratio variables  The taller curve has less dispersion.  The flatter curve has more dispersion.
  • 6. The Range  Range (R) = High Score – Low Score  Quick and easy indication of variability.  Can be used with ordinal or interval- ratio variables.  Why can’t the range be used with variables measured at the nominal level?
  • 7. Standard Deviation  The most important and widely used measure of dispersion.  Should be used with interval-ratio variables but is often used with ordinal-level variables.
  • 8. Standard Deviation  Formulas for variance and standard deviation:
  • 9. Standard Deviation  To solve:  Subtract mean from each score in a distribution of scores  Square the deviations (this eliminates negative numbers).  Sum the squared deviations.  Divide the sum of the squared deviations by N: this is the Variance  Find the square root of the result.
  • 10. Interpreting Dispersion  Low score=0, Mode=12, High score=20  Measures of dispersion: R=20–0=20, s=2.9 Years of Education (Full Sample) 0 100 200 300 400 500 600 700 800 900
  • 11. Interpreting Dispersion  What would happen to the dispersion of this variable if we focused only on people with college-educated parents?  We would expect people with highly educated parents to average more education and show less dispersion.
  • 12. Interpreting Dispersion  Low score=10, Mode=16, High Score=20  Measures of dispersion: R=20-10=10, s=2.2 Years of Education (Both Parents w BA) 0 5 10 15 20 25 30 35 40 45 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
  • 13. Interpreting Dispersion  Entire sample:  Mean = 13.3  Range = 20  s = 2.9  Respondents with college-educated parents:  Mean = 16.0  R = 10  s =2.2
  • 14. Interpreting Dispersion  As expected, the smaller, more homogeneous and privileged group:  Averaged more years of education  (16.0 vs. 13.3)  And was less variable  (s = 2.2 vs. 2.9; R = 10 vs. 20)
  • 15. Measures of Dispersion  Higher for more diverse groups (e.g., large samples, populations).  Decrease as diversity or variety decreases (are lower for more homogeneous groups and smaller samples).  The lowest value possible for R and s is 0 (no dispersion).