A test of hypotheses H 0 μ = 15 versus H 1 μ ≠ 15 was performed. The p-value was 0.027. Fill in the blank: If μ = 15, then the probability of observing a test statistic as extreme as or more extreme than actually observed is?

I dont know how to find the (Zc) and locate to the Standard normal Distribution? I understand the formula is E=Zc o/n, but each answer I submit is incorrect.

The established mean for the number of copies a customer makes per visit at a copy store is 38.   A store employee claims the actual number of copies made per visit is less.    A sample of 57 customers was taken and showed an average of 32 copies per customer. The population standard deviation is known to be 20 copies. At alpha = 0.05, test the employee's claim. For question #10 (answer goes directly below), select the null hypothesis from choices given. For question #11, enter your calculated z-value.  For question #12, convert your answer from #11 to a  P-Value and place it in the space provided. For question #13, answer True or False as to the rejection of the null hypothesis.

Select the correct answer below:   p-value >0.10   0.05< p-value <0.10   0.01< p-value <0.05   p-value <0.01