Null hypothesis significance testing. the probability of rejecting the null hypothesis when it is true. The probability of a type 1 error. also called alpha level.

The probability that a relationship observed in statistical analyses were actually due to chance. The significance level is established before the statistical analysis is undertaken. If the statistica [..]

Specifies the confidence one has in a given hypothesis. A typical example would be a polling result that is “correct to 2 percentage points, 19 times out of 20.” This is a 95% significance level. What it states is that, under the assumptions underlying the model, if we repeated the poll a large number of times (say 1000), that we expect that the di [..]

The significance level (or α level) is a threshold that determines whether a study result can be considered statistically significant after performing the planned statistical tests. The significance l [..]

The probability with which the experimenter is willing to reject the null hypothesis (in favour of the alternative hypothesis) when the null hypothesis is in fact correct. Also known as the probabilit [..]

A threshold below which one rejects the possibility that the difference between two sets of statistics is due to randomness. Often .05 (or 5%) is the rejection threshold (see Significance test).

The probability of Type I error in hypothesis testing.

The significance level of a test is the probability that the test statistic will reject the null hypothesis when the null hypothesis is true.

The significance level of a test is the probability that the test statistic will reject the null hypothesis when the [hypothesis] is true. Significance is a property of the distribution of a test stat [..]

significance|level|lang=en (statistics) A measure of how likely it is to draw a false conclusion in a statistical test, when the results are really just random variations. (statistics) The proba [..]