One- and two-tailed tests

id: one-and-two-tailed-tests-198-15803663
title: One- and two-tailed tests
text: In statistical significance testing, a one-tailed test and a two-tailed test are alternative ways of computing the statistical significance of a parameter inferred from a data set, in terms of a test statistic. A two-tailed test is appropriate if the estimated value is greater or less than a certain range of values, for example, whether a test taker may score above or below a specific range of scores. This method is used for null hypothesis testing and if the estimated value exists in the critic
brand slug: wiki
category slug: encyclopedia
description: Alternative ways of computing the statistical significance of a parameter inferred from a data set
original url: https://en.wikipedia.org/wiki/One-_and_two-tailed_tests
date created:
date modified: 2024-02-12T11:25:41Z
main entity: {"identifier":"Q7092298","url":"https://www.wikidata.org/entity/Q7092298"}
image: {"content_url":"https://upload.wikimedia.org/wikipedia/en/0/00/P-value_Graph.png","width":415,"height":274}
fields total: 13
integrity: 15

Related Entries

Explore Next Part