Questions: An elevator has a placard stating that the maximum capacity is 1690 lb-10 passengers. So, 10 adult male passengers can have a mean weight of up to 1690 / 10=169 pounds. If the elevator is loaded with 10 adult male passengers, find the probability that it is overloaded because they have a mean weight greater than 169 lb. (Assume that weights of males are normally distributed with a mean of 177 lb and a standard deviation of 31 lb.) Does this elevator appear to be safe? The probability the elevator is overloaded is (Round to four decimal places as needed.)

An elevator has a placard stating that the maximum capacity is 1690 lb-10 passengers. So, 10 adult male passengers can have a mean weight of up to 1690 / 10=169 pounds. If the elevator is loaded with 10 adult male passengers, find the probability that it is overloaded because they have a mean weight greater than 169 lb. (Assume that weights of males are normally distributed with a mean of 177 lb and a standard deviation of 31 lb.) Does this elevator appear to be safe?

The probability the elevator is overloaded is 
(Round to four decimal places as needed.)
Transcript text: An elevator has a placard stating that the maximum capacity is $1690 \mathrm{lb}-10$ passengers. So, 10 adult male passengers can have a mean weight of up to $1690 / 10=169$ pounds. If the elevator is loaded with 10 adult male passengers, find the probability that it is overloaded because they have a mean weight greater than 169 lb . (Assume that weights of males are normally distributed with a mean of 177 lb and a standard deviation of 31 lb .) Does this elevator appear to be safe? The probability the elevator is overloaded is $\square$ (Round to four decimal places as needed.)
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Solution

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Solution Steps

Step 1: Define the Problem

We need to find the probability that the mean weight of 10 adult male passengers exceeds \( 169 \, \text{lb} \). The weights of adult males are normally distributed with a mean \( \mu = 177 \, \text{lb} \) and a standard deviation \( \sigma = 31 \, \text{lb} \).

Step 2: Calculate the Z-scores

To determine the probability of exceeding the mean weight of \( 169 \, \text{lb} \), we first calculate the Z-score for \( 169 \, \text{lb} \) using the formula:

\[ Z = \frac{X - \mu}{\sigma / \sqrt{n}} \]

Where:

  • \( X = 169 \, \text{lb} \)
  • \( \mu = 177 \, \text{lb} \)
  • \( \sigma = 31 \, \text{lb} \)
  • \( n = 10 \)

Calculating the Z-score:

\[ Z = \frac{169 - 177}{31 / \sqrt{10}} \approx -0.8161 \]

Step 3: Calculate the Probability

The probability that the mean weight exceeds \( 169 \, \text{lb} \) is given by:

\[ P(X > 169) = 1 - P(X \leq 169) = 1 - \Phi(Z_{start}) \]

Where \( \Phi \) is the cumulative distribution function (CDF) of the standard normal distribution. Since \( Z_{end} = \infty \), we have:

\[ P(X > 169) = \Phi(\infty) - \Phi(-0.8161) = 0.7928 \]

Step 4: Conclusion on Safety

The calculated probability of the elevator being overloaded is \( P = 0.7928 \). Since this probability is significantly greater than \( 0.5 \), we conclude that the elevator does not appear to be safe.

Final Answer

The probability the elevator is overloaded is \( \boxed{0.7928} \). The elevator does not appear to be safe.

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