a passenger arriving at the Despin Spaceport must wait for a hotel shuttle is unformy between 3 and 15 minutes. (a) Sketch the density curve for the distribution of wait times. Be sure to label appropriately. (b) What is the probability a passenger waits between 4 and 12 minutes for the shuttle?

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Question 8 - Continuous Random Variables Please solve the problem with simple probability rules
### Uniform Distribution of Shuttle Wait Times

**Problem Statement:**
The amount of time a passenger arriving at the Bespin Spaceport must wait for a hotel shuttle is uniformly distributed between 3 and 15 minutes.

1. **Density Curve Sketch:**
   - Sketch the density curve for the distribution of wait times. Be sure to label appropriately.
   
   To graph the density curve for a uniformly distributed variable over the interval [3, 15]:

   - On the x-axis, label the values from 3 to 15, representing the range of wait times.
   - On the y-axis, the height of the uniform distribution's density function is calculated as  \( \frac{1}{15-3} = \frac{1}{12} \approx 0.0833 \), as this value normalizes the area under the curve to one.
   - Draw a horizontal line at \( y = 0.0833 \) extending from x = 3 to x = 15.
   - Label the x-axis with "Wait Time (minutes)" and the y-axis with "Density".

2. **Probability Calculation:**
   - What is the probability a passenger waits between 4 and 12 minutes for the shuttle?
   
   For a uniform distribution, the probability \( P(a \leq X \leq b) \) is given by the proportion of the interval [a, b] over the entire range [3, 15].

   Let \( a = 4 \) and \( b = 12 \):
   \[
   P(4 \leq X \leq 12) = \frac{(12 - 4)}{(15 - 3)} = \frac{8}{12} = \frac{2}{3} \approx 0.6667
   \]

Thus, the probability that a passenger waits between 4 and 12 minutes for the shuttle is approximately 0.667 or 66.7%.
Transcribed Image Text:### Uniform Distribution of Shuttle Wait Times **Problem Statement:** The amount of time a passenger arriving at the Bespin Spaceport must wait for a hotel shuttle is uniformly distributed between 3 and 15 minutes. 1. **Density Curve Sketch:** - Sketch the density curve for the distribution of wait times. Be sure to label appropriately. To graph the density curve for a uniformly distributed variable over the interval [3, 15]: - On the x-axis, label the values from 3 to 15, representing the range of wait times. - On the y-axis, the height of the uniform distribution's density function is calculated as \( \frac{1}{15-3} = \frac{1}{12} \approx 0.0833 \), as this value normalizes the area under the curve to one. - Draw a horizontal line at \( y = 0.0833 \) extending from x = 3 to x = 15. - Label the x-axis with "Wait Time (minutes)" and the y-axis with "Density". 2. **Probability Calculation:** - What is the probability a passenger waits between 4 and 12 minutes for the shuttle? For a uniform distribution, the probability \( P(a \leq X \leq b) \) is given by the proportion of the interval [a, b] over the entire range [3, 15]. Let \( a = 4 \) and \( b = 12 \): \[ P(4 \leq X \leq 12) = \frac{(12 - 4)}{(15 - 3)} = \frac{8}{12} = \frac{2}{3} \approx 0.6667 \] Thus, the probability that a passenger waits between 4 and 12 minutes for the shuttle is approximately 0.667 or 66.7%.
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