If the result of a statistical test is statistically significant (e.g., p

Question

If the result of a statistical test is statistically significant (e.g., p < .01), then one can conclude that
A) the results of the research have practical importance.
B) the independent variable had a real (i.e., non-chance) effect on the dependent variable.
C) the results of the research were due to chance factors.
D) what appears to be a statistical relationship was likely due to chance.

Quizplus · Accepted Answer

When the result of a statistical test is statistically significant (e.g., p < .01), it means that the probability of the effect being due to chance is less than 1%. Therefore, one can conclude that the independent variable had a real (i.e., non-chance) effect on the dependent variable.

If the Result of a Statistical Test Is Statistically Significant