Chapter 5: Measures of Variability Flashcards

(17 cards)

1
Q

Variability (Dispersion)

A
  • Degree to which an individual data point is distributed around the mean
  • Statistics attempts to sort out what the ‘causes’ of variability in behaviour are
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2
Q

Range: median

A
  • Distance from lowest –> highest score
  • -Influenced by outliers
  • -(Xf - Xi)
  • Not a good measure of spread b/c extremes (high/ low) can have big effect
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3
Q

Interquartile Range (IQR): median

A
  • 2 inner quartiles/ center most 50% of population
  • -Range is taken w these groups to eliminate outliers
  • Is a trimmed stat b/c it is a stat calculated based on a trimmed sample
  • Goal = eliminate outliers that are due to measurement errors

Advantage
-Based on middle 50%, less influenced by extreme values

Disadvantage

  • Discards too much data
  • -Creates a very trimmed sample
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4
Q

Trimmed Sample

A

Samples with a % of extreme scores removed

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5
Q

Trimmed Statistics

A

Statistics calculated based on trimmed samples

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6
Q

Sample Variance (s^2): mean

A

Sum of squared about the mean, divided by (N-1)

-Is bias unless calculated correctly

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7
Q

Population Variance

A

Variance of a population is usually estimated, rarely computed
-A difference in variance reflects the differences in distribution

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8
Q

Standard Deviation: mean

A
  • +’ve square root of the variance
  • Measure of average of the deviations of each score from the mean
  • -How much, on average, scores differ from the mean
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9
Q

Bias

A

-Proportion of statistic whose range average isn’t a parameter it estimates

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10
Q

Degrees of Freedom (df)

A
# of independent pieces of information remaining after estimating 1+ populations
-(N-1) = df
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11
Q

Expected Value (E)

A

Long-range average of a statistic over repeated samples

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12
Q

Boxplot: median

A
  • Graphical representation of the dispersion of a sample & extreme scores
  • Hinges: scores cutting off top & bottom 1/4
  • H-spread: range b/w hinges (Hf - Hi)
  • Median: line inside the box
  • Whiskers: line indication = 1.5xH-spread
  • -If biggest/ smallest score = less than a whisker, the whisker line should only extend to that value
  • Outliers: any score beyond the whisker
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13
Q

Quartile Location

A

[ (Median Location +1) / 2 ]

-Location of the quartile in an ordered series

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14
Q

Whisker

A

Line from top & bottom of the box to the farthest point that’s no more than 1.5X the IQR from the box

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15
Q

Winsorized Variance

A

Variance of a Windsor sample

-Take out ie. greatest & lowest 20% & replace with the lowest/ highest values remaining

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16
Q

Winsorized Standard Deviation

A

Standard deviation of a winsorized sample

17
Q

Average Deviation

A
  • Sum of the difference b/w scores & mean
  • We don;t use this b/c the -ve #s cancel out
  • -Therefore we square it, get rid of -ve deviations & obtain variance
  • -We then sqr root variance & obtain standard deviation
  • –> v = s^2