Chapter 1: Data and Statistics Flashcards

1
Q

statistics

A

the art and science of collecting, analyzing, presenting, and interpreting data.

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2
Q

data

A

the facts and figures collected, analyzed, and summarized for presentation and interpretation.

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3
Q

data set

A

all the data collected in a particular study.

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4
Q

elements

A

the entities on which data are collected.

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5
Q

variable

A

a characteristic of interest for the elements.

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6
Q

observation

A

the set of measurements obtained for a particular element.

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7
Q

nominal scale

A

the scale of measurement for a variable when the data are labels or names used to identify an attribute of an element. nominal data may be nonnumeric or numeric.

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8
Q

ordinal scale

A

the scale of measurement for a variable if the data exhibit the properties of nominal data and the order or rank of the data is meaningful. ordinal data may be nonnumeric or numeric.

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9
Q

interval scale

A

the scale of measurement for a variable if the data demonstrate the properties of ordinal data and the interval between values is expressed in terms of a fixed unit of measure. interval data are always numeric.

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10
Q

ratio scale

A

the scale of measurement for a variable if the data demonstrate all the properties of interval data and the ratio of two values is meaningful. ratio data are always numeric.

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11
Q

categorical data

A

labels or names used to identify an attribute of each element. categorical data use either nominal or ordinal scale of measurement and may be nonnumeric or numeric.

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12
Q

quantitative data

A

numeric values that indicate how much or how many of something. quantitative data are obtained using either the interval or ratio scale of measurement.

(quantity of something)

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13
Q

categorical variable

A

a variable with categorical data

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14
Q

quantitative variable

A

a variable with quantitative data.

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15
Q

cross-sectional data

A

data collected at the same or approximately the same point in time.

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16
Q

time series data

A

data collected over several periods of time.

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17
Q

descriptive statistics

A

tabular, graphical, and numerical summaries of data.

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18
Q

population

A

the set of all elements of interest in a particular study

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19
Q

sample

A

a subset of the population.

20
Q

cenus

A

a survey to collect data on the entire population.

21
Q

sample survey

A

a survey to collect data on a sample

22
Q

statistical inference

A

the process of using data obtained from a sample to make estimates or test hypotheses about the characteristics of a population.

23
Q

data mining

A

the process of using procedures from statistics and computer science to extract useful information from extremely large databases.

24
Q

the art and science of collecting, analyzing, presenting, and interpreting data.

A

statistics

25
Q

the facts and figures collected, analyzed, and summarized for presentation and interpretation.

A

data

26
Q

all the data collected in a particular study.

A

data set

27
Q

the entities on which data are collected.

A

elements

28
Q

a characteristic of interest for the elements.

A

variable

29
Q

the set of measurements obtained for a particular element.

A

observation

30
Q

the scale of measurement for a variable when the data are labels or names used to identify an attribute of an element. nominal data may be nonnumeric or numeric.

A

nominal scale

31
Q

the scale of measurement for a variable if the data exhibit the properties of nominal data and the order or rank of the data is meaningful. ordinal data may be nonnumeric or numeric.

A

ordinal scale

32
Q

the scale of measurement for a variable if the data demonstrate the properties of ordinal data and the interval between values is expressed in terms of a fixed unit of measure. interval data are always numeric.

A

interval scale

33
Q

the scale of measurement for a variable if the data demonstrate all the properties of interval data and the ratio of two values is meaningful. ratio data are always numeric.

A

ratio scale

34
Q

labels or names used to identify an attribute of each element. categorical data use either nominal or ordinal scale of measurement and may be nonnumeric or numeric.

A

categorical data

35
Q

numeric values that indicate how much or how many of something. quantitative data are obtained using either the interval or ratio scale of measurement.

A

quantitative data

36
Q

a variable with categorical data

A

categorical variable

37
Q

a variable with quantitative data.

A

quantitative variable

38
Q

data collected at the same or approximately the same point in time.

A

cross-sectional data

39
Q

data collected over several periods of time.

A

time series data

40
Q

tabular, graphical, and numerical summaries of data.

A

descriptive statistics

41
Q

the set of all elements of interest in a particular study

A

population

42
Q

a subset of the population.

A

sample

43
Q

a survey to collect data on the entire population.

A

cenus

44
Q

a survey to collect data on a sample

A

sample survey

45
Q

the process of using data obtained from a sample to make estimates or test hypotheses about the characteristics of a population.

A

statistical inference

46
Q

the process of using procedures from statistics and computer science to extract useful information from extremely large databases.

A

data mining