The standard score associated with a given degree of confidence or level of significance.
Normally you would find the critical value when given the p value and the test statistic.
I do not add probabilities to anybody!
Empirical probabilities.
Usually when the test statistic is in the critical region.
When you formulate and test a statistical hypothesis, you compute a test statistic (a numerical value using a formula depending on the test). If the test statistic falls in the critical region, it leads us to reject our hypothesis. If it does not fall in the critical region, we do not reject our hypothesis. The critical region is a numerical interval.
Every possible experimental outcome results in a value of the test statistic. The non-critical region is the collection of test statistic values that are associated with acceptance of the null hypothesis.
Sum of all probabilities is 1.
Statistical Probabilities was created on 1997-11-22.
The critical value is used to test a null hypothesis against an alternative hypothesis at some pre-defined level of significance. A test statistic is calculated from the outcomes of a set of trials and if this test statistic is more extreme than the critical value then the null hypothesis must be rejected in favour of the alternative.
The sum of the probabilities of all possible outcomes is 1.
Things and numbers don't have probabilities. Situations and events that can happen have probabilities.
The fact that probabilities are proportions means that they are less than or equal to 1.