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Dispersion
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Basic problem Population 1: 3,3,3,3,3 Population 2 : 1,2,3,4,5 Population 3: 0,0,15,0,0 Population 4: -294,-24,3,30,300 What is the similarity and the difference among the examples? How can we measure dispersion?
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Dispersion The differencies between the values and the value’s deviaton from the measures of central tendency Difference: xi-xj Deviation:
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How can we measure the dispersion
Difference Range Gini ’s average absolute difference Deviation Standard deviation Variance Coefficient of variation
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Range Range Advantages? Disadvantages? Interpretation?
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How can we measure the dispersion
Difference Range Gini ’s average absolute difference Deviation Standard deviation Variance Coefficient of variation
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Variance Nominator: total sum of squares (TSS)
Calculation from ungrouped data: Nominator: total sum of squares (TSS) Denominator: number of elements (N) Example
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Standard deviation Calculation from ungrouped data Interpretation: how much do the individuals deviate on average from the mean.
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Example Ages (year) 20, 20, 20, 25, 25, 32, 33, 33, 33, 33
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Calculation from frequency distribution
Ages 20, 20, 20, 25, 25, 32, 33, 33, 33, 33 Calculation from frequency distribution Ages, year Nr of Ind. (fj) Ratio, gj 20 3 0,3 25 2 0,2 32 1 0,1 33 4 0,4 Total 10 1,0
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Coefficient of variation
Interpretation: how much do the individuals deviate on average from the mean, measured as percentage of the mean. Advantages?
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Example Ages 20, 20, 20, 25, 25, 32, 33, 33, 33, 33
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Calculation of dispersion from intervals
Start from the midpoints (Xi0 + Xi1)/2 Ages, year Number of flats; fi Midpoints, Xi -11 6,0 12-21 17,0 22-31 27,0 32-41 37,0 42-56 49,5 57-81 69,5 82- 94,5 Total -
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xi fi fi(x- )2 fixi2 6,0 17,0 27,0 37,0 49,5 69,5 94,5 Total
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Properties of Dispersion
What happens if we add the same number to all of our values or multiply all of them by the same number? Measures of dispersion Increasing all values by the same A number Multiplying all values by the same A(≠0) number Range Remains unchanged Range is multiplied by A Variance Variance is multiplied by A Standard deviation Standard deviation is multiplied by A Coefficient of variation
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