numerical data that describe phenomena.

Simple summary description of data carried out before a full analysis, eg. Mean, Standard error, etc.

set of concepts and methods used in organizing, summarizing, tabulating, depicting, and describing collections of data (Shavelson, 1996).

See statistical analysis.

Figures which summarize or describe a data set, without making any inferences or generalizations. All measures listed on this page are descriptive statistics. In contrast, there's inferential statistics, in which inferences are made about the data - such as using a sample to make estimate about a population.

statistics that summarize research data. 53, 645

Descriptive statistics are the techniques we use to describe the main features of a sample.

describe, summarize, or highlight the relationships within data which have been gathered.

statistics used for describing the characteristics of the population and subjects.

Numbers or graphs used to summarize a set of scores; includes central tendency statistics (e.g., mean, median, mode), frequencies, percentages.

A type of statistics that organizes and summarizes information about multiple observations. Includes frequency distributions, measures of central tendency, and correlations.

Statistical methods of organizing and summarizing information.

Data summarised in numerical form, such as mean, median, mode. This forms the first stage of data analysis. Means, standard deviations and standard errors are presented in the form of a table.

Statistics that classify and summarize numerical data.

Descriptive statistics are used to summarize characteristics of a group of scores-for example, central tendency and dispersion or variability of scores. The mean, median TIT. mode, variance and standard deviation are descriptive statistics.

Statistics designed to describe characteristics of a sample.

statistics that summarize a data set, e.g., mean, median, mode, standard deviation.

Descriptive statistics are used to organize and describe data. The mean, mode and range are examples of descriptive statistics.

The compilation and presentation of data in tables, graphs and diagrams.

Numbers that summarize and describe the behavior or characteristics of a particular sample of participants in a study.

Statistical measures of data that reflect properties of the data and provide a means of assessing the general nature of the underlying distribution. Examples include mean, standard deviation, range.

Statistics such as the mean, the standard deviation, the proportion, and the rate used to describe attributes of a set of data.

Products from statistical analysis that summarize, tabulate, organize, and graph data for the purpose of describing the population or group under study EHR/NSF Evaluation Handbook, Chapter Seven: GlossarySource web site

Descriptive statistics are used to describe the basic features of the data in a study. They provide simple summaries about the sample and the measures. Together with simple graphics analysis, they form the basis of virtually every quantitative analysis of data.