descriptive statistics Flashcards

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1
Q

measures of central tendency

A

inform us about central values for a set of data
average can be calculated in different ways, different situations

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2
Q

how to calculate the mean?

A

add up data items and divide by number of data items

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3
Q

advantages of mean

A
  • representative of all data
  • sensitive statistic - takes account of the exact distance between all values of all data
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4
Q

disadvantages of mean

A
  • cannot be used with nominal data
  • anomalous values can distort and misrepresent data
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5
Q

how to calculate median?

A

arrange in order of size and select the central value
even no. - calculate median value must add 2 median values and divide by 2

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6
Q

advantages of median

A
  • easy to calculate
  • not distorted by anomalies
  • not affected by extreme scores so can be useful under such circumstances
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7
Q

disadvantages of median

A
  • less sensitive than the mean because the exact values are not reflected
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8
Q

how to calculate mode?

A

most common value

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9
Q

advantages of mode

A
  • unaffected by extreme values
  • useful for discrete data
  • can be used for nominal data
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10
Q

disadvantages of mode

A
  • mode may not represent data
  • data cannot be described using this statistic
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11
Q

measures of dispersion

A

finds how spread out data items are

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12
Q

how is range calculated?

A

(biggest value - smallest value) +1

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13
Q

advantages of range

A
  • easy to calculate
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14
Q

disadvantages of range

A
  • effected by extreme values
  • doesn’t take into account the distribution of numbers
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15
Q

how is standard deviation calculated?

A

σ = √[(∑(d’)2 /n) - (∑d’/n)2] × i

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16
Q

advantages of standard deviation

A
  • precise measure of dispersion
  • takes into account all values
17
Q

disadvantages of standard deviation

A
  • may hide some characteristics of the data set