Biostatistics series module 3: Comparing groups: Numerical variables

Numerical data that are normally distributed can be analyzed with parametric tests, that is, tests which are based on the parameters that define a normal distribution curve. If the distribution is uncertain, the data can be plotted as a normal probability plot and visually inspected, or tested for n...

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Veröffentlicht in:	Indian journal of dermatology Jg. 61; H. 3; S. 251 - 260
Hauptverfasser:	Hazra, Avijit, Gogtay, Nithya
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	India Wolters Kluwer - Medknow Publications 01.05.2016 Medknow Publications and Media Pvt. Ltd Medknow Publications & Media Pvt. Ltd Medknow Publications & Media Pvt Ltd Wolters Kluwer Medknow Publications
Schlagworte:	Analysis Analysis of variance Biometry Conflicts of interest Dermatology Economic models Friedman's test IJD Independent sample Kolmogorov–Smirnov test Kruskal–Wallis test Mann–Whitney U-test Medical statistics Module on Biostatistics and Research Methodology for the Dermatologist - Module Editor: Saumya Panda Normal distribution normal probability plot Population t-test Tukey's test Values Wilcoxon's test India Tukey's test Friedman's test Kolmogorov-Smirnov test Mann-Whitney U-test t-test Wilcoxon's test Kruskal-Wallis test Analysis of variance normal probability plot Kruskal–Wallis test Kolmogorov–Smirnov test Mann–Whitney U-test
ISSN:	0019-5154, 1998-3611
Online-Zugang:	Volltext
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