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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.
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]
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 ...
For example, you would use a two-tailed test if one random sample was 15 quarter horses and the second sample was 15 sires or dams of those same horses. A one-tailed test is appropriate if no known relationship exists between the samples, for example, two random samples of 15 unrelated quarter horses. -- 206.208.110.32 20:58, 17 August 2005 ...
A bimodal distribution would have two high points rather than one. The shape of a distribution is sometimes characterised by the behaviours of the tails (as in a long or short tail). For example, a flat distribution can be said either to have no tails, or to have short tails.
Student's t-test is a statistical test used to test whether the difference between the response of two groups is statistically significant or not. It is any statistical hypothesis test in which the test statistic follows a Student's t -distribution under the null hypothesis .
One common use of the binomial test is the case where the null hypothesizes that two categories occur with equal frequency (: =), such as a coin toss.Tables are widely available to give the significance observed numbers of observations in the categories for this case.