fickernuit's version from 2017-06-27 03:15



Question Answer
Hypothesis Testingis a statistical procedure that uses sample data to determine whether a statement about the value of a population parameter should or should not be rejected
Type I ErrorThe error of rejecting Ho when it is true
Type II ErrorThe error of accepting Ho when it is false.
The Level of Significanceis the probability of making a Type I error when the null hypothesis is true as an equality
Significance Testsapplications of hypothesis testing that only control for the Type I error.
Test Statisticis a statistic whose value helps determine whether a null hypothesis should be rejected. (z or t)
P-value approachis a probability that provides a measure of the evidence against the null hypothesis provided by the sample
Critical Value Approachis a value that is compared with the test statistic to determine whether Ho should be rejected.

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