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A two-tailed test applied to the normal distribution. A one-tailed test, showing the p-value as the size of one tail. In statistical significance testing, a one-tailed test and a two-tailed test are alternative ways of computing the statistical significance of a parameter inferred from a data set, in terms of a test statistic. A two-tailed test ...
The psychologist evaluated 104 children, of whom 18 were judged to be delayed [14]). The Denver II yielded a high sensitivity rate, correctly identifying 83% of the previously noted delayed children. However, the screening test also identified more than half of the developmentally normal children as delayed, so its specificity (46%) was low.
The z-test for comparing two proportions is a statistical method used to evaluate whether the proportion of a certain characteristic differs significantly between two independent samples. This test leverages the property that the sample proportions (which is the average of observations coming from a Bernoulli distribution ) are asymptotically ...
This ensures that the hypothesis test maintains its specified false positive rate (provided that statistical assumptions are met). [35] The p-value is the probability that a test statistic which is at least as extreme as the one obtained would occur under the null hypothesis. At a significance level of 0.05, a fair coin would be expected to ...
It was validated both at the hospital and the community level against the standard Denver Developmental Screening Test. [2]With a sensitivity of 66.7% and specificity of 78.8%, it can be used even by community level health worker for mass screening and takes around 5 minutes to complete. [2]
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