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In statistics, a Yates analysis is an approach to analyzing data obtained from a designed experiment, where a factorial design has been used. Full- and fractional-factorial designs are common in designed experiments for engineering and scientific applications. In these designs, each factor is assigned two levels, typically called the low and high levels, and referred to as "-" and "+". For computational purposes, the factors are scaled so that the low level is assigned a value of -1 and the high level is assigned a value of +1.

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rdf:type	programming language
rdfs:label	Yates analysis (en)
rdfs:comment	In statistics, a Yates analysis is an approach to analyzing data obtained from a designed experiment, where a factorial design has been used. Full- and fractional-factorial designs are common in designed experiments for engineering and scientific applications. In these designs, each factor is assigned two levels, typically called the low and high levels, and referred to as "-" and "+". For computational purposes, the factors are scaled so that the low level is assigned a value of -1 and the high level is assigned a value of +1. (en)
dct:subject	Design of experiments
Wikipage page ID	15672030 (xsd:integer)
Wikipage revision ID	1102866262 (xsd:integer)
Link from a Wikipage to another Wikipage	Design of experiments Standard deviation Effect size Graphical technique Probability plot (disambiguation) Statistical significance Statistics Frank Yates Design of experiments Dataplot Least squares Data plot Factorial design Order of magnitude Fractional factorial designs Residual standard deviation Multi-factor analysis of variance T-value dbr:Block_plot dbr:Confounding_structure dbr:Dex_contour_plot dbr:Dex_mean_plot dbr:Practical_significance dbr:Youden_plot
Link from a Wikipage to an external page	https://repository.rothamsted.ac.uk/item/98765/the-design-and-analysis-of-factorial-experiments https://helda.helsinki.fi/handle/10138/21365 http://www.itl.nist.gov/div898/handbook/eda/section3/eda35i.htm https://archive.org/details/statisticsforexp00geor
sameAs	Yates analysis Yates analysis Yates analysis
dbp:wikiPageUsesTemplate	dbt:NIST-PD dbt:Citation dbt:Cite_book dbt:Refimprove
has abstract	In statistics, a Yates analysis is an approach to analyzing data obtained from a designed experiment, where a factorial design has been used. Full- and fractional-factorial designs are common in designed experiments for engineering and scientific applications. In these designs, each factor is assigned two levels, typically called the low and high levels, and referred to as "-" and "+". For computational purposes, the factors are scaled so that the low level is assigned a value of -1 and the high level is assigned a value of +1. A full factorial design contains all possible combinations of low/high levels for all the factors. A fractional factorial design contains a carefully chosen subset of these combinations. The criterion for choosing the subsets is discussed in detail in the fractional factorial designs article. Formalized by Frank Yates, a Yates analysis exploits the special structure of these designs to generate least squares estimates for factor effects for all factors and all relevant interactions. The Yates analysis can be used to answer the following questions: 1. * What is the ranked list of factors? 2. * What is the goodness-of-fit (as measured by the residual standard deviation) for the various models? The mathematical details of the Yates analysis are given in chapter 10 of Box, Hunter, and Hunter (1978). The Yates analysis is typically complemented by a number of graphical techniques such as the and the ("dex" stands for "design of experiments"). (en)
gold:hypernym	Approach
prov:wasDerivedFrom	wikipedia-en:Yates_analysis?oldid=1102866262&ns=0
page length (characters) of wiki page	9028 (xsd:nonNegativeInteger)
foaf:isPrimaryTopicOf	wikipedia-en:Yates_analysis
is Link from a Wikipage to another Wikipage of	Frank Yates Factorial experiment List of statistics articles Yates Analysis
is Wikipage redirect of	Yates Analysis
is foaf:primaryTopic of	wikipedia-en:Yates_analysis

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