Answer with explanation:
Let p be the population proportion .
Then,

According to the given information, we have
, since alternative hypothesis is two-tailed , so the hypothesis test is a two-tail test.
Since sample size is large (n> 30), we use z-test.
Let us consider 95% confidence i.e.
.
c) Critical value =

Sample proportion :

d) Test statistic :

i.e.

e) P-value (for two-tail) :

f) P-value is the probability value that we have falsely rejected the null hypothesis.
g) Since observed z-value (2.8) does not lie in critical interval (-1.96, 1.96), it means the null hypothesis is rejected.