measures of central tendency and dispersion Flashcards

1
Q

measures of central tendency definition

A

a measure which calculates an average value within a data set

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2
Q

how to work out mean

A

total of all values divide by number of values

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3
Q

how to work out mode

A

most frequently occurring value

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4
Q

how to work out median

A

arrange data from lowest to highest and find the middle value

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5
Q

2 strengths of mean

A

-makes use of all values
-good for interval data

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6
Q

limitation of mean

A

influenced by outliers (extreme scores) so can be unrepresentative

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7
Q

2 strengths of median

A

-not affected by outliers
-good for ordinal data

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8
Q

limitation of median

A

not as sensitive as mean- doesnt use all data

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9
Q

strength of mode

A

good for nominal data

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10
Q

limitation of mode

A

not useful when there are multiple modes

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11
Q

dispersion: how to work out range

A

highest score minus lowest score

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12
Q

strength of range

A

easy to calculate

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13
Q

2 limitations of range

A

-does not use all values
-affected by extreme values

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14
Q

dispersion: how to work out standard deviation

A
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15
Q

what is standard deviation

A

a single value saying how far values deviate from the mean
-larger deviation= greater spread of data
-low deviation= data is clustered close to the mean

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16
Q

strength of standard deviation

A

-precise measure where all values are taken into account

17
Q

2 limitations of standard deviation

A

-affected by extreme values
-difficult to calculate