When conducting an experiment with 95% power,failing to reject the null hypothesis means that
A)there is no difference between the experimental and control populations.
B)the experiment was poorly conducted.
C)the null hypothesis is true.
D)the chance that the data came from populations with a difference larger than that predicted when calculating power is less than 5%.

Question

Quizplus · Accepted Answer

The statement in D correctly interprets the scenario of not rejecting the null hypothesis in an experiment with 95% power. It means that there is less than a 5% chance that the observed data would occur if there were a true difference between populations larger than the one specified when calculating the experiment's power. This does not confirm the null hypothesis as true (C), nor does it necessarily indicate a poorly conducted experiment (B) or that there is no difference at all (A).

When Conducting an Experiment with 95% Power,failing to Reject the Null