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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Vydané v:	Indian journal of dermatology Ročník 61; číslo 3; s. 251 - 260
Hlavní autori:	Hazra, Avijit, Gogtay, Nithya
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	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
Predmet:	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
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