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- Yates_analysis 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. These are typically called the low and high levels. 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. These are also commonly referred to as \"-\" and \"+\".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:What is the ranked list of factors?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 dex mean plot and the dex contour plot (\"dex\" stands for \"design of experiments\").".
- Yates_analysis wikiPageExternalLink eda35i.htm.
- Yates_analysis wikiPageID "15672030".
- Yates_analysis wikiPageLength "7983".
- Yates_analysis wikiPageOutDegree "29".
- Yates_analysis wikiPageRevisionID "660309315".
- Yates_analysis wikiPageWikiLink Analysis_of_variance.
- Yates_analysis wikiPageWikiLink Block_plot.
- Yates_analysis wikiPageWikiLink Category:Design_of_experiments.
- Yates_analysis wikiPageWikiLink Confounding_structure.
- Yates_analysis wikiPageWikiLink Dataplot.
- Yates_analysis wikiPageWikiLink Design_of_experiments.
- Yates_analysis wikiPageWikiLink Dex_contour_plot.
- Yates_analysis wikiPageWikiLink Dex_mean_plot.
- Yates_analysis wikiPageWikiLink Effect_size.
- Yates_analysis wikiPageWikiLink Explained_variation.
- Yates_analysis wikiPageWikiLink Factorial_experiment.
- Yates_analysis wikiPageWikiLink Fractional_factorial_design.
- Yates_analysis wikiPageWikiLink Frank_Yates.
- Yates_analysis wikiPageWikiLink Least_squares.
- Yates_analysis wikiPageWikiLink Order_of_magnitude.
- Yates_analysis wikiPageWikiLink Plot_(graphics).
- Yates_analysis wikiPageWikiLink Practical_significance.
- Yates_analysis wikiPageWikiLink Probability_plot.
- Yates_analysis wikiPageWikiLink Standard_deviation.
- Yates_analysis wikiPageWikiLink Statistical_graphics.
- Yates_analysis wikiPageWikiLink Statistical_significance.
- Yates_analysis wikiPageWikiLink Statistics.
- Yates_analysis wikiPageWikiLink T-statistic.
- Yates_analysis wikiPageWikiLink Youden_plot.
- Yates_analysis wikiPageWikiLinkText "Yates analysis".
- Yates_analysis wikiPageUsesTemplate Template:Cite_book.
- Yates_analysis wikiPageUsesTemplate Template:NIST-PD.
- Yates_analysis wikiPageUsesTemplate Template:Refimprove.
- Yates_analysis subject Category:Design_of_experiments.
- Yates_analysis hypernym Approach.
- Yates_analysis type ProgrammingLanguage.
- Yates_analysis type Redirect.
- Yates_analysis type Source.
- Yates_analysis 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. These are typically called the low and high levels.".
- Yates_analysis label "Yates analysis".
- Yates_analysis sameAs Q17090899.
- Yates_analysis sameAs m.03np7gz.
- Yates_analysis sameAs Q17090899.
- Yates_analysis wasDerivedFrom Yates_analysis?oldid=660309315.
- Yates_analysis isPrimaryTopicOf Yates_analysis.