Professor Smith conducts a study, and he finds that his results are not statistically significant. This means that Professor Smith must conclude that his hypothesis was wrong.

Question

Quizplus · Accepted Answer

Statistical significance is a measurement of the probability that the results of a study occurred by chance. Failing to achieve statistical significance does not necessarily mean that the hypothesis is wrong. It could simply mean that the sample size was too small, there was too much variability in the data, or there were confounding factors that affected the outcome. Therefore, Professor Smith cannot definitively conclude that his hypothesis was wrong based solely on the lack of statistical significance.

Professor Smith Conducts a Study, and He Finds That His