Part A
p = 0.5 is the hypothesized population proportion
x = 570 is the number of successes
n = 1100 is the sample size
phat = x/n = 570/1100 = 0.518182 is the approximate sample proportion
SE = standard error
SE = sqrt(p*(1-p)/n)
SE = sqrt(0.5*(1-0.5)/1100)
SE = 0.015076 which is approximate
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We have enough to compute the z test statistic
z = (phat - p)/(SE)
z = (0.518182 - 0.5)/(0.015076)
z = 1.206023
z = 1.21
Answer: The z-statistic is approximately 1.21
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Part B
Compute the probability of getting a z score larger than 1.21
P(Z > 1.21) = 1 - P(Z < 1.21)
P(Z > 1.21) = 1 - 0.8869 .... see note below
P(Z > 1.21) = 0.1131
note: the value 0.8869 comes from the table that I've attached as an image below. I have marked in red the proper row and column used to look up the value. The z table is commonly found in statistics textbooks toward the back sections. There are also many free online z tables you can search out as well. I used a z table found online. Alternatively, you can use your TI83 or TI84 calculator to compute the area under the normal curve. You would use the normalCDF function.
Answer: The P-value is approximately 0.1131