We are given the following information:
p0 = 0.07 (true proportion)
n = 100 grocery shoppers (sample size)
p-hat = 0.18 (sample proportion)
We want to check to see if the normal approximation can be used.
np ≥ 5 ⇒ 100*0.07 = 7 ≥ 5
n(1 - p) = nq ≥ 5 ⇒ 100*0.93 = 93 ≥ 5 (Note: q is the probability that a shopper didn't throw away food.)
Both conditions are met. Now, lets calculate the mean and standard deviation.
Mean: μ = p0 = 0.07 (this information was given)
Standard Deviation: σ = √p0(1 - p0) / n = √(0.07)(0.93)/100 = 0.2551470164434614743903999267847
Find the probability using the z-score formula (this can be found in the textbook or online).
z = (p-hat - µ) / σ = (0.18 - 0.07) / 0.255 = 0.43
P(z < 0.43) = 0.6664
The probability that the sample proportion does not exceed 0.18 is 0.6664.