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Sociology 220

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... that for both groups, there is equally wide variation in number of cousins. ... Given this flaw, as a measure of spread we usually prefer... The Variance ... – PowerPoint PPT presentation

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Title: Sociology 220


1
Sociology 220
  • Spring 2007
  • Prof. J. Brines
  • May 2, 2007
  • MGH 389

2
Measures of spread in a distribution
  • How spread out are the values for a set of
    cases?

3
The Range
  • Range Upper value-Lower value 1
  • Consider N12 test scores
  • 8 11 15 19 23 29 30 32 32 38 41 46
  • The range for the test scores is
  • 46-81 39.

4
Features of the Range
  • Strengths easy to calculate
  • Weaknesses can poorly represent the amount of
    overall variation in the data.

5
Example of the problem
  • Consider the following two sets of data re.
    number of first cousins a person has. Seven
    people contribute to each set of data (N7).
  • Group 1 0 4 4 4 4 5 5 Range6
  • Group 2 0 1 2 2 3 4 5 Range6

6
  • In the preceding example, using the range to
    represent variation suggests that for both
    groups, there is equally wide variation in number
    of cousins. But thats not the case!
  • Given this flaw, as a measure of spread we
    usually prefer

7
The Variance
  • __
  • Formula ?2 ? ((Yi Y )2)
  • N
  • __
  • (Yi Y) difference between the value for the
    ith case and the mean.
  • __
  • (Yi - Y)2 squared difference between case i and
    the mean.
  • __
  • ? (Yi Y)2 Squared difference between case 1
    and the mean squared difference between case 2
    and the mean squared difference between last
    case and the mean

8
  • __ __ __
  • Example Yi Y Yi Y (Yi Y)2
  • 10 35.58 -25.58 654.34
  • 21 35.58 -14.58 212.58
  • 25 -10.58 111.94
  • 27 - 8.58 73.62
  • 32 - 3.58 12.82
  • 32 - 3.58 12.82
  • 35 - .58 .34
  • 37 1.42 2.01
  • 42 6.42 41.22
  • 49 13.42 180.10
  • 56 35.58 20.42 416.98
  • 61 35.58 25.42 646.18
  • ? -- -- 0.00 2364.95

9
  • N 12
  • __
  • ?2 ? ((Yi Y)2) 2364.95
  • N 12
  • 197.08
  • ? square root (197.08) 14.04

10
  • ? or the standard deviation represents the
    average deviation of individual values (Yi) from
    the mean for Y.
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