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Category: Statistics – Experimental Design & Data Analysis Using R

ANOVA test

Posted on January 27, 2023March 21, 2023 By Janith Piumal No Comments on ANOVA test
ANOVA test
Statistics – Experimental Design & Data Analysis Using R

Analysis of variance An ANOVA test is used to compare means between more than two groups. One-way ANOVA uses one independent variable, and two-way ANOVA uses two independent variables.(two factors that are being tested simultaneously) Two main aim of ANOVA tests To explain the relative contribution of the different factors or combination of different factors … Read More “ANOVA test” »

Z – test & T – Test in R

Posted on January 27, 2023March 21, 2023 By Janith Piumal No Comments on Z – test & T – Test in R
Z – test & T – Test in R
Statistics – Experimental Design & Data Analysis Using R

Assumption of Z-test samples are randomly selected from the population Population is normally distributed population variance is known Assumption of T-test samples are randomly selected from the population population is normally distributed populations variance is unknown sample data are continuous Z-test VS T-test Z test can be only apply when the population variance is known … Read More “Z – test & T – Test in R” »

Introduction to experiment design

Posted on January 17, 2023May 3, 2023 By Janith Piumal No Comments on Introduction to experiment design
Introduction to experiment design
Statistics – Experimental Design & Data Analysis Using R

Validity of a experiments First we consider the validity of the experiment the are three main validates. statistical validity, internal validity, and external validity In statistical validity three main hypothesis are made – normality, Homogeneity of the variance, independent of the variance Internal validity is the how far relationship between independent and dependent variables. External … Read More “Introduction to experiment design” »

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