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.
A variable with categorical data.
A survey to collect data on the entire population.
Data collected at the same or approximately the same point in time.
The facts and figures collected, analyzed, and summarized for presentation and interpretation.
The process of using procedures from statistics and computer science to
extract useful information from extremely large databases.
All the data collected in a particular study.
Tabular, graphical, and numerical summaries of data.
The entities on which data are collected.
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.
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.
The set of measurements obtained for a particular element.
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.
The set of all elements of interest in a particular study.
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 variable with quantitative data.
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 subset of the population.
A survey to collect data on a sample.
The process of using data obtained from a sample to make estimates or test hypotheses about the characteristics of a population.
The art and science of collecting, analyzing, presenting, and interpreting data.