Answer:
P-value of test statistics = 0.9773
Step-by-step explanation:
We are given that a publisher reports that 49% of their readers own a personal computer. A random sample of 200 found that 42% of the readers owned a personal computer.
And, a marketing executive wants to test the claim that the percentage is actually different from the reported percentage, i.e;
Null Hypothesis,
: p = 0.49 {means that the percentage of readers who own a personal computer is same as reported 63%}
Alternate Hypothesis,
: p
0.49 {means that the percentage of readers who own a personal computer is different from the reported 63%}
The test statistics we will use here is;
T.S. =
~ N(0,1)
where, p = actual % of readers who own a personal computer = 0.49
= percentage of readers who own a personal computer in a
sample of 200 = 0.42
n = sample size = 200
So, Test statistics = 
= -2.00
Now, P-value of test statistics is given by = P(Z > -2.00) = P(Z < 2.00)
= 0.9773 .