When sample sizes are small,power will tend to be __,everything else being equal.
A)low
B)moderate
C)high
D)there is no affect

Question

Quizplus · Accepted Answer

When sample sizes are small, power tends to be low, everything else being equal. This is because when the sample size is small, the effect size needs to be larger to achieve sufficient power to detect statistical significance. As a result, small sample sizes have weaker statistical power and are less able to detect true differences or relationships in the data. Conversely, larger sample sizes tend to have greater statistical power, which means that they are more likely to detect significant differences or relationships, all other factors being equal.

When Sample Sizes Are Small,power Will Tend to Be __,Everything