What does "significance" mean in the statistical sense?
A) The difference detected in a hypothesis test is strong enough to have important implications in the real world.
B) The probability of Type I and Type II errors has been adequately estimated to ensure that the test is informative.
C) The difference between a sample statistic and population parameter is unlikely to occur by random chance alone.
D) The sample used is large enough to be informative about the general population.

Question

Quizplus · Accepted Answer

In statistics, "significance" refers to the likelihood that a result or relationship is caused by something other than mere random chance, typically assessed using a p-value.

What Does "Significance" Mean in the Statistical Sense