The term is best known as a mechanical effect, and is used as an analogy to a falling row of dominoes. It typically refers to a linked sequence of events where the time between successive events is relatively small.
9 terms. What is the difference between a z test and a t-test. Z: tests probability sample was drawn from a population with a known mean and known standard deviation. T; tests probability sample was drawn from a population with known mean but unknown standard deviation. z-test.
A t-test can be used to account for the uncertainty in the sample variance when the sample size is small and the data are exactly normal. There is no universal constant at which the sample size is generally considered large enough to justify use of the plug-in test. Typical rules of thumb range from 20 to 50 samples. For larger sample sizes, the t-test procedure gives almost identical p-values as the Z-test procedure. Other location tests that can be performed as Z-tests are the two-sample location test and the paired difference test.