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One-Way Analysis of Variance (ANOVA)
2014Thomas J. Quirk, Simone Cummings
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Analysis of Factor Variance: One-Way Classification
Perceptual and Motor Skills, 1966A method of analyzing M response measures gathered in a simple analysis of variance design has been suggested. The first step is a factor analysis of the M by M total correlation matrix with rotation to “simple structure” and the extraction of Q factors with uncorrelated factor scores.
S R, Pinneau +3 more
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1993
Abstract One-way analysis of variance (ANOVA) is an extremely useful statistical approach in all branches of biology. It can be used to test whether there are any significant differences between a set of means from an experiment or survey and to identify where these differences lie. This chapter will give a succinct, but comprehensive
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Abstract One-way analysis of variance (ANOVA) is an extremely useful statistical approach in all branches of biology. It can be used to test whether there are any significant differences between a set of means from an experiment or survey and to identify where these differences lie. This chapter will give a succinct, but comprehensive
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One-Way Analysis of Variance (ANOVA)
Springer Undergraduate Mathematics Series, 2020Jonathan Gillard
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The Kruskal–Wallis One-Way Analysis of Variance by Ranks
Handbook of Parametric and Nonparametric Statistical Procedures, 2020D. Sheskin
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One-Way Analysis of Variance (ANOVA)
2011So far in this book, you have learned how to test for the difference within one group of data between the mean of the group and the hypothesized population mean for the data using either the 95 % confidence interval about the mean (Chap. 3 of this book) or the one-group t-test of the mean (Chap. 4 of this book).
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Nonreciprocity in acoustic and elastic materials
Nature Reviews Materials, 2020Hussein Nassar +2 more
exaly