Answer:
The correct statements are (A) and (E).
Step-by-step explanation:
The hypothesis to be tested is defined as follows:
H₀: The proportion of customers who renew their subscriptions each year is 72%, i.e. p = 0.72.
Hₐ: The proportion of customers who renew their subscriptions each year is more than 72%, i.e. p > 0.72.
The significance level of the test is, α = 0.05.
The p-value of the test statistic is, p-value = 0.0323.
The p-value is well defined as per the probability, [under the null hypothesis (H₀)], of attaining a result equivalent to or more extreme than what was truly observed.
The p-value of 0.0323, implies that the probability of having 387 or more customers renew their subscription in a sample of 500 customers given that the true proportion of those who renew their subscription is 0.86 is 0.0323.
Decision rule:
If the p-value of the test is less than the significance level then the null hypothesis will be rejected and vice-versa.
p-value = 0.0323 < α = 0.05.
Thus, the null hypothesis will be rejected at 5% level of significance.
The correct statements are (A) and (E).