Oneway Analysis of Variance (ANOVA)

Thomas W. MacFarland and Jan M. Yates
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Thomas W. MacFarland: Nova Southeastern University Fort Lauderdale, Senior Research Associate, Office of Institutional Effectiveness
Jan M. Yates: Nova Southeastern University Fort Lauderdale, Professor Emerita, Abraham S. Fischler College of Education

Chapter Chapter 5 in Using R for Biostatistics, 2021, pp 293-359 from Springer

Abstract: Abstract The purpose of this lesson is to demonstrate how the R environment supports Oneway Analysis of Variance (Oneway ANOVA), the empirical test used to determine if there are statistically significant differences between the means of three or more samples of continuous data (e.g., is there a statistically significant (p

Keywords: ANOVA; Analysis of variance; Balanced design; Duncan’s multiple range test; Fisher (Ronald); Least significant difference (LSD); Mean comparison technique; Oneway ANOVA; Scheffé’s mean comparison test; Student-Newman–Keuls (SNK); Tukey’s honestly significant difference (Tukey HSD); Unbalanced design (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/978-3-030-62404-0_5

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