A bank wants to know if the enrollment on their website is above 28% based on a small sample of customers. They test H 0: p = 0.3 vs. HA: p>0.3 and reject the null hypothesis. Later they find out that actually 28% of all customers enrolled.

A. The bank made a Type II error. The actual value is close to 0.3 but they rejected the null hypothesis. B. The bank made a Type II error. The actual value is not greater than 0.3 but they rejected the null hypothesis.
C. The bank made a Type I error The actual value is not greater than 0.3 but they rejected the null hypothesis.
D. The bank made a Type I error. The actual value is close to 0.3 but they rejected the null hypothesis. E. The bank did not make an error. The actual value is not equal to 0.3 and they rejected the null hypothesis.