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Synopsis
This popular and critically acclaimed text for undergraduate courses concentrates on the practical applications of statistics to biology. Its straightforward approach offers students with a minimal background in mathematics an accessible introduction to biostatistics. Worked-out examples appear throughout the book, illuminating highly relevant examples of solutions to problems in biological data analysis.
The treatment progresses from descriptive statistics to fundamental distributions and the testing of elementary statistical hypotheses. It introduces the analysis of variance, presenting an in-depth survey that ranges from single-classification to two-way analysis of variance. Additional topics include regression, correlation, and analysis of frequencies. Numerous tables provide computational methods, from initial setup to final result, for solving a variety of biostatistical problems.
The treatment progresses from descriptive statistics to fundamental distributions and the testing of elementary statistical hypotheses. It introduces the analysis of variance, presenting an in-depth survey that ranges from single-classification to two-way analysis of variance. Additional topics include regression, correlation, and analysis of frequencies. Numerous tables provide computational methods, from initial setup to final result, for solving a variety of biostatistical problems.
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About the Author
Professors Robert R. Sokal and F. James Rohlf teach at the State University of New York at Stony Brook. Their handbooks and textbooks on biostatistics and biometrics have received critical acclaim by peers and students alike.
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