Question

Your firm will base some expensive decisions on the results of your hypothesis test, so your boss wants to have a high standard of evidence for rejecting the null hypothesis. What should you do?
A. Throw out observations that look suspicious
B. Increase the significance level to 10%
C. Reduce the significance level to 1%
D. Keep the significance level the same but collect more data

Answer 1

Answer:

D. Keep the significance level the same but collect more data

Step-by-step explanation:

The significance level is the probability of rejecting the null hypothesis when it is true.  For example, a significance level of 0.05 indicates a 5% risk of concluding that a difference exists when there is no actual difference.  This significance level is usually established initially and does not need to be changed.

But, you can collect more data to gain a high standard of evidence for rejecting the null hypothesis.  More data gives more evidence and leads to a result that is not attributed to chance, thus, proving that the result is statistically significant.