Business Statistics Exam 2 Terms Flashcards

1
Q

A numerical value used as a summary measure for a population

A

Population Parameter

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2
Q

A numerical value used as a summary measure for a sample

A

Sample Statistic

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3
Q

A 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

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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6
Q

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

A

Mode

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7
Q

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

A

Weighted Mean

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8
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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9
Q

A measure of location that is calculated by removing a percentage of the smallest and largest values from a data set, then calculating the average of remaining values

A

Trimmed Mean

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10
Q

A value such that at least p percent of the observations are less than or equal to this value and at least (100 - p) percent of the observations are greater than or equal

A

percentile

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11
Q

The 25th, 50th, and 75th percentiles, which can be used to divide a data set into four parts, with each part containing approximately 25% of the data

A

Quartiles

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12
Q

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

A

Range

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13
Q

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

A

Interquartile Range

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14
Q

A technique that used the smallest value, first quartile, median, third quartile, and largest value to summarize the data set

A

Five-number summar

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15
Q

A graphical summary of data based on a five=number summary

A

Boxplot

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16
Q

A measure of variability based on the squared deviations (differences) of the data values about the mean

A

Variance

17
Q

A measure of variability computed by taking the positive square root of the variance

A

Standard Deviation

18
Q

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

A

Coefficient of Variation

19
Q

A value computed by dividing the deviation (difference) of a data value from the mean by the standard deviation. Sometimes this is referred to as a Standard Score

A

Z-score

20
Q

An unusually small or unusually large data value

A

Outlier

21
Q

A measure of the shape of a data distribution

A

Skewness

22
Q

A theorem that can be 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

23
Q

A rule that can be 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

Empirical Rule

24
Q

A measure of linear association between two variables. Positive values indicate a positive relationship; negative values indicate a negative relationship

A

Covariance

25
Q

A measure of linear association between two variables that takes on values between -1 and +1. Values near +1 indicate a strong positive linear relationship; values near -1 indicate a strong negative linear relationship; and values near zero indicate the lack of a linear relationship

A

Correlation Coefficient

26
Q

A price index for a given item that is computed by dividing a current unit price by a base-period unit price and multiplying the result by 100

A

Price Relative

27
Q

A composite price index based on the prices of a group of items

A

Aggregate Price Index

28
Q

A composite price index in which the prices of the items in the composite are weighted by their relative importance

A

Weighted Aggregate Price Index

29
Q

A weighted aggregate price index in which the weight for each item is its current-period quantity

A

Paasche Index

30
Q

A weighted aggregate price index in which the weight for each item is its base-period quantity

A

Lapeyre’s Index

31
Q

An index designed to measure changes in quantities over time

A

Quantity Index

32
Q

A monthly price index that uses the price changes in a market basket of consumer goods and services to measure the changes in consumer prices over time

A

Consumer Price Index

33
Q

A monthly price index designed to measure changes in prices of goods sold in primary markets (i.e., first purchase of a commodity in nonretail markets)

A

Producer Price Index

34
Q

A quantity index designed to measure changes in the physical volume or production levels of industrial goods over time

A

Industrial Production Index

35
Q

Aggregate price indexes designed to show price trends and movements associated with common stocks

A

Dow Jones Averages