Given the average outcomes for the treated and control groups, and their respective sample standard deviations how does the number of observations impact the p-value of a hypothesis test?
A) Only increasing the number of treated will lower the p-value.
B) Only increasing the number of control groups will lower the p-value.
C) Only increasing the number of treated will raise the p-value.
D) None of the answers is correct.

Question

Quizplus · Accepted Answer

Increasing the number of observations in either the treated or control groups generally leads to a more precise estimate of the mean outcomes, which can lower the p-value if there is a true effect, making it easier to detect statistically significant differences. The statement does not specify that increasing observations in one group over the other would have a unique effect on the p-value without considering the effect size and variance in both groups.

Given the Average Outcomes for the Treated and Control Groups