A set of procedures used to make judgments about whether differences actually exist between sets of numbers. go to glossary index

Mathematical analyses that move beyond mere description of research data to make inferences about the larger population from which the sample was drawn.

A method that allows researchers to make judgments about a whole “population” by using examples from a smaller part (a “sample”) of that population.

Statistical inference is the process of using the value of a sample statistic to make informed guesses about the value of a population parameter.

That branch of statistics that involves drawing inferences about parameters of the population(s) from which you have sampled.

Statistical test that makes generalizations about a population based of the numeric information obtained from a sample based on the laws of probability.

Data about a sample used to make judgments (inferences) about a population.

A type of statistics that generalizes from observations. Used to test hypotheses. Includes t tests, ANOVAs, and MANOVAs.

Statistical techniques which allow one to analyze information and generalizes about a population on the basis of information obtained from a sample of a populations. See Descriptive statistics.

Procedures and measures used to make inferences about population characteristics from samples drawn from that population. The process of hypothesis testing is part of inferential statistics.

Statistics that use characteristics of a random sample along with measures of sampling error to predict the true values in a larger population.

Inferential statistics are techniques using information and measures on samples to infer characteristics about the populations.

The type of statistics used to help draw inferences about the data gathered in an investigation.

specify how likely findings are to be true for other populations, or in other locales.