Step 1 :First, we need to calculate the mean and standard deviation of the binomial distribution. The mean is np and the standard deviation is sqrt(np(1-p)).
Step 2 :Given that n = 140, p = 0.17, we can calculate the mean as \(140 \times 0.17 = 23.8\)
Step 3 :The standard deviation is calculated as \(\sqrt{140 \times 0.17 \times (1 - 0.17)} = 4.444547221033882\)
Step 4 :Next, we calculate the z-score for 0.33. The z-score is calculated as \((0.33 \times 140 - 23.8) / 4.444547221033882 = 5.0398834540426725\)
Step 5 :Finally, we find the probability that the z-score is greater than the calculated value. This is the probability that more than 33% of homes are sold to investors.
Step 6 :The probability that more than 33% of homes are sold to investors is approximately \(2.33 \times 10^{-7}\)
Step 7 :This means that it is very unlikely that more than 33% of homes are sold to investors if the true proportion is 17%. Therefore, the claim that more than a third of all homes sold are being sold to investors rather than homeowners is not reasonable.
Step 8 :Final Answer: The probability that more than 33% of homes are sold to investors is approximately \(\boxed{2.33 \times 10^{-7}}\). The claim that more than a third of all homes sold are being sold to investors rather than homeowners is not reasonable.