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In statistics, a paired difference test is a type of location test that is used when comparing two sets of measurements to assess whether their population means differ. A paired difference test uses additional information about the sample that is not present in an ordinary unpaired testing situation, either to increase the statistical power, or to reduce the effects of confounders.

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rdf:type	cricketer
rdfs:label	Paired difference test (en)
rdfs:comment	In statistics, a paired difference test is a type of location test that is used when comparing two sets of measurements to assess whether their population means differ. A paired difference test uses additional information about the sample that is not present in an ordinary unpaired testing situation, either to increase the statistical power, or to reduce the effects of confounders. (en)
dct:subject	Statistical hypothesis testing
Wikipage page ID	23004551 (xsd:integer)
Wikipage revision ID	1065174587 (xsd:integer)
Link from a Wikipage to another Wikipage	Statistical hypothesis testing Variance Null hypothesis Correlation Sign test Conditional logistic regression Statistical significance Statistics Observational study Location test Cumulative distribution function Expected value Normal distribution Pairwise comparison Statistical power Wilcoxon signed-rank test Blocking (statistics) Average Matching (statistics) Sample (statistics) Type I and type II errors Z-test Paired data Two-tailed test Random effect Confounder T-test
Link from a Wikipage to an external page	http://deseng.ryerson.ca/~fil/t/pwisecomp.html http://www.rac.es/ficheros/doc/00576.PDF http://compbio.berkeley.edu/people/ed/SeqCompEval/
sameAs	Paired difference test Paired difference test Paired difference test
dbp:wikiPageUsesTemplate	dbt:Math dbt:Mvar dbt:Reflist
has abstract	In statistics, a paired difference test is a type of location test that is used when comparing two sets of measurements to assess whether their population means differ. A paired difference test uses additional information about the sample that is not present in an ordinary unpaired testing situation, either to increase the statistical power, or to reduce the effects of confounders. Specific methods for carrying out paired difference tests are, for normally distributed difference t-test (where the population standard deviation of difference is not known) and the paired Z-test (where the population standard deviation of the difference is known), and for differences that may not be normally distributed the Wilcoxon signed-rank test. The most familiar example of a paired difference test occurs when subjects are measured before and after a treatment. Such a "repeated measures" test compares these measurements within subjects, rather than across subjects, and will generally have greater power than an unpaired test. Another example comes from matching cases of a disease with comparable controls. (en)
gold:hypernym	Test
prov:wasDerivedFrom	wikipedia-en:Paired_difference_test?oldid=1065174587&ns=0
page length (characters) of wiki page	18650 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Paired_difference_test
is Link from a Wikipage to another Wikipage of	Prison education One- and two-tailed tests Sign test Conditional logistic regression Student's t-test Wilcoxon signed-rank test Blocking (statistics) Matching (statistics) Test statistic List of statistics articles Z-test Paired data Pairwise testing Paired test
is Wikipage redirect of	Paired test
is foaf:primaryTopic of	wikipedia-en:Paired_difference_test

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