The time spent (in days) waiting for a heart transplant for people ages 35-49 in a recent year follows a normal distribution with a mean wait time of 204 days and standard deviation 25.7 days. What is the probability that the heart transplant wait time for a person selected at random will be between 185 and 215 days? a. 0.4368 b. 0.6664 c. 0.4280 d. 0.2296
Added by Morgan B.
Step 1
7} = \frac{-19}{25.7} \approx -0.7399 \) For 215 days: \( z = \frac{215 - 204}{25.7} = \frac{11}{25.7} \approx 0.4280 \) Show more…
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The time spent (in days) waiting for a heart transplant for people ages 35-49 in a recent year follows a normal distribution with a mean wait time of 204 days and standard deviation 25.7 days. What is the probability that the heart transplant wait time for a person selected at random will be between 180 and 210 day?
Qudsiya A.
The time spent (in days) waiting for a heart transplant for people ages 35-49 in a recent year follows a normal distribution with a mean wait time of 204 days and standard deviation 25.7 days. The 8% of people who wait the longest for a heart transplant wait more than how any days? 240.237 167.763 168.020 239.98
Sri K.
Work each problem. In a recent year there were 51.277 people waiting for an organ transplant. The following table lists the number of patients waiting for the most common types of transplants. \begin{tabular}{c|c} \hline Organ Transplant & Patients Waiting \\ \hline Heart & $3,774$ \\ Kidney & $35,025$ \\ Liver & $7,920$ \\ Lung & $2,340$ \end{tabular} Assuming that none of these people needs two or more transplants, approximate the probability that a transplant patient chosen at random will need A. a kidney or a heart. B. neither a kidney nor a heart.
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