The art and science of collecting, analyzing, presenting, and interpreting data.
The numerical facts that help us understand a variety of business and economic situations.
The facts and figures collected, analyzed, and summarized for presentation and interpretation.
All the data collected in a particular study.
The entities on which data are collected.
A characteristic of interest for the elements.
The set of measurements obtained for a particular element.
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 scale of measurement for a variable if the data exhibit the properties of nominal data an the order or rank of the data is meaningful. Ordinal data may be nonnumeric or numeric.
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 if the data demonstrate all the properties of interval data and the ratio of two values in meaningful. Ratio data are always numeric.
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
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 categorical data
A variable with quantitative data.
Data collected at the same or approximately the same point in time
Time series data
Data collected over several time periods
Tabular, graphical, and numerical summaries of data.
The set of all elements of interest in a particular study.
A subset of the population
A survey to collect data on the entire 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 process of using procedures from statistics and computer science to extract useful information from extremely large databases