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Sample Size Requirements: One-Way Analysis of Variance
Biometrika, 1970 SUMMARY Answers to questions concerning adequate sample size in a one-way analysis of variance situation depend on such things as the number of categories to be compared, the levels of risk an experimenter is willing to assume and some knowledge of the noncentrality parameter.
Marvin A. Kastenbaum +2 more
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2004
In Chapter 5 we consider ways to compare the means of two populations. Now we extend these procedures to comparisons of means from several populations. For example, we may wish to compare the average hourly production of a company’s six factories.
Burt Holland, Richard M. Heiberger
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In Chapter 5 we consider ways to compare the means of two populations. Now we extend these procedures to comparisons of means from several populations. For example, we may wish to compare the average hourly production of a company’s six factories.
Burt Holland, Richard M. Heiberger
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One-Way Analysis of Variance (ANOVA)
Springer Undergraduate Mathematics Series, 2020In this chapter, a method for the analysis of an experiment that has more than two groups of observations is described. The main objective is to determine if there are significant differences among the population means of the groups, which are assumed to be random samples from normally distributed populations. The analysis is based on an examination of
Jonathan Gillard
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1981
We introduced the t-test in Chapter 15 as a technique for testing the significance of the difference between means of two random samples.
C. B. Dobson, R. B. Burns
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We introduced the t-test in Chapter 15 as a technique for testing the significance of the difference between means of two random samples.
C. B. Dobson, R. B. Burns
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Analysis of Factor Variance: One-Way Classification
Perceptual and Motor Skills, 1966 A 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.
Samuel R. Pinneau +3 more
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One-Way Analysis of Variance (ANOVA) [PDF]
, 2014 Thomas J. Quirk, Simone Cummings
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Unequal Group Variances in the Fixed-Effects One-Way Analysis of Variance: A Bayesian Sidelight
Biometrika, 1966Abstract : The effect of inequality of variance on the standard F-tests for one-way and two-way analysis of variance classification has been examined previously. Certain results found by Box for the one-way classification are examined. A Bayesian analysis is shown to throw light on the consequences of Box's work in a given experimental situation.
Norman R. Draper, Irwin Guttman
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Guide for the Interpretation of One-way Analysis of Variance
Physical Therapy, 1985In summary, one-way ANOVA for independent groups is used to test whether the group means for a specific dependent variable differ significantly after exposing each group to a unique level of a single factor or independent variable. You may recognize the preceding sentence.
Barbara J. Norton, Michael J. Strube
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One-Way Analysis of Variance (ANOVA)
Excel for Statistics, 2016Thomas J. Quirk, Eric Rhiney
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