Applied Statistical Designs for the Researcher (e-bog) af Paulson, Daryl S.
Paulson, Daryl S. (forfatter)

Applied Statistical Designs for the Researcher e-bog

683,09 DKK (ekskl. moms 546,47 DKK)
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 varie…
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.
E-bog 683,09 DKK
Forfattere Paulson, Daryl S. (forfatter)
Forlag CRC Press
Udgivet 20.08.2003
Længde 712 sider
Genrer Probability and statistics
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9781482276244
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.