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Categorical data Labels or names used to identify an attribute of each element. Categorical data use either the nominal or ordinal scale of measurement and may be nonnumeric or numeric. Categorical variable A variable with categorical data. Census A survey to collect data on the entire population. Cross-sectional
data Data collected at the same or approximately the same point in time. Data The facts and figures collected, analyzed, and summarized for presentation and interpretation. Data mining - The process of using procedures from statistics and computer science to
- extract useful information from extremely large databases.
Data
set All the data collected in a particular study. Descriptive statistics Tabular, graphical, and numerical summaries of data. Elements The entities on which data are collected. Interval scale 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. Nominal scale 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.
Observation The set of measurements obtained for a particular element. Ordinal scale 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. Population The set of all elements of interest in a particular study. Quantitative data Numeric values that indicate how much or how many of something. Quantitative data are obtained using either the interval or ratio scale of measurement. -
Quantitative variable A variable with quantitative data. Ratio scale 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. Sample A subset of the population. Sample survey A survey to collect data on a sample.
Statistical inference The process of using data obtained from a sample to make estimates or test hypotheses about the characteristics of a population. Statistics The art and science of collecting, analyzing, presenting, and interpreting data. Time series data Data collected over several time periods.
Variable
A
characteristic of interest for the elements.
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Front
| Back
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Set of measurements collected for a particular element
| Observations
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A characteristic of interest for the elements
| Variable
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Data collected in a particular study
| Data Set
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In a data set, the number of observations will always be the same number as..
| Elements
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When the data are labels or names used to identify an attribute of the elements and the rank of the data is meaningful, the variable has which scale of measurement?
| Ordinal
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Which scale of measurement can be either numeric or nonnumeric?
| Nominal and ordinal
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Which of the following variables use the interval scale of measurement?
| SAT scores
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Quantitative Data
| Always numeric
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Gender is an example of..
| Categorical value
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Temperature is an example of..
| Quantitative variable
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Income is an example..
| Quantitative
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Profits of Fortune 500 companies is an example of..
| Quantitative data
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A portion of the population selected to represent the population
| Sample
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Data that indicate how much or how many are known
| Quantitative data
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Labels or names
| Nominal
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When data are labels or names used to identify an attribute of an element?
When the data for a variable consists of labels or names used to identify an attribute of the element, the scale of measurement is considered a nominal scale.
What are labels used for in data sets quizlet?
a Label is a special variable used in some data sets to distinguish the different cases. a Variable is a characteristic of a case.
What is a characteristic of interest for the elements called?
A characteristic of interest of an elements is called a variable. Was this answer helpful?
Which scale of measurement that has the properties of order or rank of the data is meaningful?
An ordinal scale is one where the order matters but not the difference between values.