According to many psychologists, statistical significance is when there is less than a 22% probability that the outcome is the consequence of random mistake.
Statistics Importance
The claim that a result from data collected through testing or experimentation is probably related to a specific cause is known as statistical significance. High statistical significance links imply that they are unlikely to be the result of chance.
A finding has statistical significance when it is extremely unlikely to have occurred given the null hypothesis in statistical hypothesis testing. More specifically, the p-value of a result, p, is the likelihood of obtaining a result at least as extreme, given that the null hypothesis is true. The defined significance level of a study, denoted by alpha, is the probability of the study rejecting the null hypothesis, given that the null hypothesis is true.
For additional information on statistical significance, see question
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