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
Mortality odds ratio  is the ratio equivalent to the odds ratio used in case-control studies where the equivalent of the cases are deaths from the cause of interest and the equival

Conditional probability : The probability that an event occurs given the outcome of other event. Generally written, Pr(A|B). For instance, the probability of a person being color b

Collector's problem : A problem which derives from the schemes in which packets of a particular brand of coffe, cereal etc., are sold with coupons, cards, or other tokens. There ar

Formal graphical representation of the "causal diagrams" or the "path diagrams" where the  relationships are directed but acyclic (that is no feedback relations allowed). Plays an

The measure of the degree to which the particular model differs from the saturated model for the data set. Explicitly in terms of the likelihoods of the two models can be defined a

what is pdf,mean & variance for multimodal distribution?

Projection pursuit is a procedure for attaning a low-dimensional (usually two-dimensional) representation of the multivariate data, which will be particularly useful in revealing

Longini Koopman model : In epidemiology the model for primary and secondary infection, based on the classification of the extra-binomial variation in an infection rate which might

A study not involving the passing of time. All information is collected at the same time and subjects are contacted only once. Many surveys are of this type. The temporal sequence

Nested design  is the design in which levels of one or more factors are subsampled within one or more other factors such that, for instance, each level of a factor B happens at onl