measures of central tendency, dispersion, location Flashcards

1
Q
  • compressing mass of data for better
    comprehension and description.
A

summary measures

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2
Q
  • Refers to “center” of the distribution of
    observations.
A

measures of central tendency

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3
Q
  • also known as average
A

mean

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4
Q
  • sensitive to extreme observations.
  • involves all observation in its computation.
  • any change in the observation will change the mean value.
A

mean

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5
Q
  • middle most value in a set of observations put in an array
  • always exists and is unique.
  • not influenced by outliers.
  • does not make use of all the observations in its
    computation.
  • can be calculated for any quantitative and qualitative variable.
A

median

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6
Q

most frequently occurring value in a set of observations

A

mode

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7
Q
  • gives information as to the tendency of values to
    clump together.
  • tools describing the variability of the
    observations.
A

measures of dispersion

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8
Q

Simplest measure of location

A

range

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9
Q

highest observation – lowest observation

A

range

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10
Q

does not tell anything about the observation between these two extreme observations.
- may be used for quantitative variables

A

range

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11
Q

Measure of variability that takes the mean as the reference point

A

variance

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12
Q
  • involves all observations.
  • unit: squared unit of the original set of observations.
  • hard to interpret
A

variance

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13
Q
  • square root of variance
  • unit is the same as that of the original set of observations.
A

sd

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14
Q

square of variance

A

sd

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15
Q

expresses the SD as percentage of mean.

A

coefficient variation

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16
Q

most appropriate when unit of measurement of variables being compared are different

A

coefficient variation

17
Q

most appropriate when means being compared are markedly different.

A

coefficient variation

18
Q

measure of dispersion is low or small.

A

homogeneous

19
Q

measure of dispersion is high or large.

A

heterogenous

20
Q

determines the location/ position of particular value in an array of distribution

A

measures of location

21
Q
  • provide more details about a part of the entire distribution of observations in a given data.
  • used for both qualitative and quantitative data
A

measures of location

22
Q

most common measures:

A
  • quartiles
  • deciles
  • percentiles
23
Q

points of distribution that divide the observation into 4 equal parts.

A

quartiles

24
Q

points of distribution that divides the observation into 10 equal parts.

A

deciles

25
Q

points of distribution that divide the observation into 100 equal parts

A

percentiles

26
Q
  • calculated by dividing the cumulative frequency by the total number of observations (n).
  • then multiply it by 100
A

cumulative percentage