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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 null hypothesis of the two-tailed test is: : = There is no universal definition of the two-tailed version of Fisher's exact test. [3] Since Boschloo's test is based on Fisher's exact test, a universal two-tailed version of Boschloo's test also doesn't exist.
Circuit components such as amplifiers can be tested using the two-tone method with a test setup like that shown in the figure. Two signal generators, set to two different frequencies F1 and F2, are fed into a power combiner through circulators. The combiner needs to have good isolation to prevent the signal from one generator being sent to the ...
Tail-pulse generator; Tektronix analog oscilloscopes; Test bench; Test light; Test loop translator; Test probe; Time base generator; Time-domain reflectometer; Total harmonic distortion analyzer; Transformer ratio arm bridge; Transistor tester; Tube tester; Two-tone testing
Binomial tests are available in most software used for statistical purposes. E.g. In R the above example could be calculated with the following code: binom.test (51, 235, 1 / 6, alternative = "less") (one-tailed test) binom.test (51, 235, 1 / 6, alternative = "greater") (one-tailed test) binom.test (51, 235, 1 / 6, alternative = "two.sided ...
"The treatment has a beneficial effect" is the more informative result of a one-tailed test. "The treatment has an effect, reducing the average length of hospitalization by 1.5 days" is the most informative report, combining a two-tailed significance test result with a numeric estimate of the relationship between treatment and effect.
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In Dunnett's test we can use a common table of critical values, but more flexible options are nowadays readily available in many statistics packages. The critical values for any given percentage point depend on: whether a one- or- two-tailed test is performed; the number of groups being compared; the overall number of trials.