CH3 - Numerical Measures Flashcards

1
Q

Numerical value used as a summary measure for a sample

A

Sample Statistics

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2
Q

Numerical value used as a summary measure for a population

A

Population Parameter

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3
Q

Sample statistic used to estimate the corresponding population parameter

A

Point Estimator

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4
Q

A measure of central location computed by summing the data values and dividing by the number of observations

A

Mean

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5
Q

The mean obtained by assigning each observation a weight that reflects its importance

A

Weighted Mean

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6
Q

A measure of central location provided by the value in the middle when the data are arranged in ascending order

A

Median

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7
Q

A measure of location that is calculated by finding the nth root of the product of n values

A

Geometric mean

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8
Q

Measure of location, defined as the value that occurs with greatest frequency

A

Mode

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9
Q

Value such that at least p percent of the observations are less than or equal to this value. The 50th percentile is the median

A

Percentile

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10
Q

25th, 50th, 75th percentiles are referred to as…

A

Quartiles

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11
Q

A measure of variability, defined to be the largest value minus the smallest value

A

Range

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12
Q

Measure of variability, defined to be the difference between the third and first quartiles

A

Interquartile range

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13
Q

Measure of variability based on the squared deviations of the data values about the mean

A

Variance

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14
Q

Measure of variability computed by taking the positive square root of the variance

A

Standard Deviation

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15
Q

Measure of relative variability computed by dividing the standard deviation by the mean and multiplying by 100

A

Coefficient of variation

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16
Q

Shape of a data distribution. Negative to the left, positive to the right

A

Skewness

17
Q

Computed by dividing the deviation about the mean(xi - x) by the standard deviation s

A

z-score

18
Q

Used to make statements about the proportion of data values that must be within a specified number of standard deviations of the mean

A

Chebyshev’s theorem

19
Q

Rule used to compute the percentage of data values that must be within one, two, and three standard deviations of the mean for data that exhibit a bell-shaped distribution

A

Empeirical rule

20
Q

Unusually small or large data value

A

Outlier