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Analysis of Variance. I. One-Way

Basic Biostatistics for Medical and Biomedical Practitioners, 2015
J. I. Hoffman
semanticscholar   +3 more sources

Reporting and Interpreting One-Way Analysis of Variance (ANOVA) Using a Data-Driven Example: A Practical Guide for Social Science Researchers

Journal of Research in Educational Sciences, 2021
One-way (between-groups) analysis of variance (ANOVA) is a statistical tool or procedure used to analyse variation in a response variable (continuous random variable) measured under conditions defined by discrete factors (classification variables, often ...
Simon Ntumi
semanticscholar   +1 more source

One-Way Analysis of Variance

1971
Publisher Summary This chapter presents one-way analysis of variance. In statistics, one-way analysis of variance is a technique used to compare means of two or more samples, using the F distribution. This technique can be used only for numerical data.
Jacob Cohen   +2 more
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One‐Way Analysis of Variance

Statistical Applications for the Behavioral and Social Sciences, 2018
its relation to some variables Eman Mohamed Eltaie Alaeddin Ali Hussein Ali Center for Educational and Psychological Research / University of Baghdad Abstract The development, progress and prosperity of any nation is bound by its youth, the ability to ...

semanticscholar   +1 more source

The impact of Maryland all-payer model on patient satisfaction of care: A one-way analysis of variance (ANOVA)

International Journal of Healthcare Management, 2020
The purpose of this study was to assess if patient satisfaction, as measured by the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) significantly differ by year in the Maryland Global Payment implementation cycle.
Richard Blanco-Topping
semanticscholar   +1 more source

A One-Way Analysis of Variance for Single-Subject Designs

Educational and Psychological Measurement, 1971
Lester C. Shine, Samuel M. Bower
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One-Way Analysis of Variance (ANOVA)

2011
So 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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Analysis of Variance I: One-Way

1987
The method known as analysis of variance considers the problem of determining whether, among a set of three or more samples, there are means that differ significantly. We let k denote the number of samples. Sample 1 contains n1 variates denoted A11, A 21,…, A nl1 . Sample 2 contains n2 variates denoted A12, A22,…, An22, and so on, as seen in Table 33.1.
Ronald J. Tallarida, Rodney B. Murray
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A new statistic in the one-way multivariate analysis of variance

Computational Statistics & Data Analysis, 1985
In the multivariate one-way analysis of variance a test statistic based solely on the rank orders of the data is proposed. In the two group case the statistic simplifies to a test of \textit{M. L. Puri} and \textit{P. K. Sen} [Nonparametric methods in multivariate analysis. (1971; Zbl 0237.62033)]. Monte Carlo simulation techniques are used to evaluate
Robert Pavur, Ravinder Nath
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