Explain yate s'' continuity correction, Advanced Statistics

Yate s' continuity correction: When the testing for independence in contingency table, a continuous probability distribution, known as chi-squared distribution, is used as the approximation to the discrete probability of all the observed frequencies, called as the multinomial distribution. To improve the approximation Yates suggested a correction which involves subtracting 0.5from positive discrepancies (observed - expected) and adding 0.5 to the negative discrepancies prior to these values are squared in the calculation of the usual chi-square statistic. If the sample size is large correction will have less effect on the value of test statistic.

Posted Date: 8/1/2012 1:51:31 AM | Location : United States







Related Discussions:- Explain yate s'' continuity correction, Assignment Help, Ask Question on Explain yate s'' continuity correction, Get Answer, Expert's Help, Explain yate s'' continuity correction Discussions

Write discussion on Explain yate s'' continuity correction
Your posts are moderated
Related Questions
Consolidated Standards for Reporting Trials (CONSORT) statement : The protocol for reporting the results of the clinical trials. The core contribution of the statement comprises of

The approach to data analysis which emphasizes the use of informal graphical procedures not based on former assumptions about structure of the data or on the formal models for the

Locally weighted regression  is the method of regression analysis in which the polynomials of degree one (linear) or two (quadratic) are used to approximate regression function in

K-means cluster analysis is the method of cluster analysis in which from an initial partition of observations into K clusters, each observation in turn is analysed and reassigned,

Intercropping experiments are the experiments including growing two or more crops at same time on the same patch of land. The crops are not required to be planted nor harvested at

Nearest-neighbour methods are the methods of discriminant analysis are based on studying the training set subjects much similar to the subject to be classified. Classification mig

Quota sample is the sample in which the units are not selected at the random, but in terms of a particular number of units in each of a number of categories; for instance, 10 men

Atomistic fallacy : A fallacy which arises because of the association between two variables at the individual level might vary from the association between the same two variables m

It is an informal method of assessing the effect of the publication bias, generally in the context of the meta-analysis. The effect measures from each of the reported study are plo

Bayesian confidence interval : An interval of the posterior distribution which is so that the density of it at any point inside the interval is greater than that of the density at