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

Question

Quizplus · Accepted Answer

Statistical significance testing can lead to an incorrect conclusion about the population because it only provides information about the probability of obtaining the results given the null hypothesis, rather than the probability of the null hypothesis being true. It is important to consider effect sizes and other factors in addition to statistical significance when interpreting results. The other options are incorrect: A) internal validity can be established through other methods, B) effect sizes are important but not the focus of statistical significance testing, C) statistical significance testing can be used with other types of variables, not just quantitative.

Which of the Following Is True of Statistical Significance Testing