Applied Statistical Designs for the Researcher
Daryl S. Paulson(Author)
CRC Press
Published on 20. August 2003
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712 pages
978-0-203-91220-1 (ISBN)
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Description
Showcasing a discussion of the experimental process and a review of basic statistics, this volume provides methodologies to identify general data distribution, skewness, and outliers. It features a unique classification of the nonparametric analogs of their parametric counterparts according to the strength of the collected data. Applied Statistical Designs for the Researcher discusses three varieties of the Student t test, including a comparison of two different groups with different variances; two groups with the same variance; and a matched, paired group. It introduces the analysis of variance and Latin Square designs and presents screening approaches to comparing two factors and their interactions.
More details
Series
Language
English
Place of publication
Boca Raton, Florida
United States
Publishing group
Taylor & Francis
Target group
Professional and scholarly
Biostatisticians; applied statisticians; and upper-level undergraduate, graduate, and medical students in these disciplines
Dimensions
Height: 279 mm
Width: 216 mm
ISBN-13
978-0-203-91220-1 (9780203912201)
Schweitzer Classification
Other editions
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Daryl S. Paulson
Applied Statistical Designs for the Researcher
Book
08/2003
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CRC Press
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06/2003
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Content
Research and Statistics
Basic Review of Parametric Statistics
Exploratory Data Analysis
Two Sample Tests
Completely Randomized One-Factor Analysis of Variance
One and Two Restrictions on Randomization
Completely Randomized Two-Factor Factorial Designs
Two-Factor Factorial Completely Randomized Blocked Designs
Useful Small Scale Pilot Designs
Nested Statistical Designs
Linear Regression
Nonparametric Statistics
Introduction to Research Synthesis and "Meta-Analysis" and Conclusory Remarks
References
Index.
Basic Review of Parametric Statistics
Exploratory Data Analysis
Two Sample Tests
Completely Randomized One-Factor Analysis of Variance
One and Two Restrictions on Randomization
Completely Randomized Two-Factor Factorial Designs
Two-Factor Factorial Completely Randomized Blocked Designs
Useful Small Scale Pilot Designs
Nested Statistical Designs
Linear Regression
Nonparametric Statistics
Introduction to Research Synthesis and "Meta-Analysis" and Conclusory Remarks
References
Index.