Function of Power, Advanced Statistics

In an experiment, power is a function of
1. The number of variables being measured and the beta level
2. The effect size, internal validity and the beta level
3. The number of participants, alpha level and effect size
4. The effect size, clinical significance, and the alpha level.
Posted Date: 3/27/2013 12:20:23 PM | Location : United States







Related Discussions:- Function of Power, Assignment Help, Ask Question on Function of Power, Get Answer, Expert's Help, Function of Power Discussions

Write discussion on Function of Power
Your posts are moderated
Related Questions
The procedure in which initially the sample of subjects is selected for generating the auxillary information only, and then the second sample is selected in which the variable of i

Generally the final stage of an exploratory factor analysis in which factors derived initially are transformed to build their interpretation simpler. Generally the target of the pr

Higher criticism is a multiple-comparison test concept arising from the situation where there are number of independent tests of significance and interest lies in the rejecting jo

Interior analysis is the  term now and again applied to analysis carried out on the fitted model in regression problem. The basic target of such analyses is the identification of

Probability judgements : Human beings often require assessing the probability which some event will occur and accuracy of these probability judgements often determines success of o

Back-projection: A term most often applied to the procedure for reconstructing plausible HIV incidence curves from the AIDS incidence data. The method or technique assumes that th


Regression through the origin : In some of the situations a relationship between the two variables estimated by the regression analysis is expected to pass by the origin because th

Multidimensional scaling (MDS)  is a generic term for a class of techniques or methods which attempt to construct a low-dimensional geometrical representation of the proximity matr

Matching coefficient is a similarity coefficient for data consisting of the number of binary variables which is often used in cluster analysis. It can be given as follows    he