Which of the following is true of statistical significance testing?
A)It is necessary for establishing external validity.
B)It can lead to an incorrect conclusion about the population.
C)It is synonymous with measuring effect size.
D)It is only done when you have two quantitative variables.

Question

Quizplus · Accepted Answer

Statistical significance testing can sometimes result in a Type I error, meaning that we reject the null hypothesis when it is actually true, leading to an incorrect conclusion about the population. This is why it is important to also consider effect size and practical significance in addition to statistical significance. The other options are incorrect: A is incorrect because external validity refers to the ability to generalize findings to other populations or settings, which is not related to statistical significance testing; C is incorrect because effect size is a separate concept from statistical significance testing, although they are often considered together; and D is incorrect because statistical significance testing can be used with other types of variables, such as categorical or ordinal variables.

Which of the Following Is True of Statistical Significance Testing