The time (in minutes) until the next bus departs a major bus depot follows a distribution with f(x) = where x goes from 25 to 45 minutes. O Part (a) O Part (b) O Part (e) O Part (d) O Part (e) O Part (0 O Part (g) O Part (h) Find the probability that the time is between 35 and 40 minutes. (Enter your answer as a fraction.) Sketch and label a graph of the distribution. Shade the area of interest. f(X) f(X) 0.20- 0.20 0.15 0.15 0.10 0.10 0.05 0.05 X 5 10 15 20 25 30 35 40 45 50 5 10 15 20 25 30 35 40 45 50 f(X) f(X) 0.20 0.20 0.15 0.15 0.10 0.10 0.05 0.05 5 10 15 20 25 30 35 40 45 50 5 10 15 20 25 30 35 40 45 50 Write the answer in a probability statement. (Enter exact numbers as integers, fractions, or decimals.) The probability of a waiting time --Select--v 35 minutes an v ---Select- ninutes is J. given waiting times - (? V less than
The time (in minutes) until the next bus departs a major bus depot follows a distribution with f(x) = where x goes from 25 to 45 minutes. O Part (a) O Part (b) O Part (e) O Part (d) O Part (e) O Part (0 O Part (g) O Part (h) Find the probability that the time is between 35 and 40 minutes. (Enter your answer as a fraction.) Sketch and label a graph of the distribution. Shade the area of interest. f(X) f(X) 0.20- 0.20 0.15 0.15 0.10 0.10 0.05 0.05 X 5 10 15 20 25 30 35 40 45 50 5 10 15 20 25 30 35 40 45 50 f(X) f(X) 0.20 0.20 0.15 0.15 0.10 0.10 0.05 0.05 5 10 15 20 25 30 35 40 45 50 5 10 15 20 25 30 35 40 45 50 Write the answer in a probability statement. (Enter exact numbers as integers, fractions, or decimals.) The probability of a waiting time --Select--v 35 minutes an v ---Select- ninutes is J. given waiting times - (? V less than
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
Transcribed Image Text:**Bus Departure Time Distribution**
The time (in minutes) until the next bus departs a major bus depot follows a uniform distribution with \( f(x) = \frac{1}{20} \), where \( x \) ranges from 25 to 45 minutes.
**Problem:**
Find the probability that the time is between 35 and 40 minutes. (Enter your answer as a fraction.)
**Visual Explanation:**
Four histograms are provided to represent the uniform distribution:
1. **Histogram 1:**
- **Y-axis:** \( f(x) \) ranging from 0 to 0.20
- **X-axis:** Time from 0 to 50 minutes
- **Shaded Area:** Between 35 and 40 minutes
- **Description:** This plot highlights the uniform distribution where the area of interest is the shaded region between 35 and 40.
2. **Histogram 2:**
- Similar structure as Histogram 1
- Provides a visual focus on the shaded probability area between 35 and 40.
3. **Histogram 3:**
- Shows the full distribution curve with emphasis on the complete area of interest between 25 and 45 minutes.
- The same shaded region for probabilities between 35 and 40.
4. **Histogram 4:**
- Shows a cumulative probability distribution.
- Shaded area illustrates cumulative probabilities up to 40 minutes.
Upon solving, you will find the probability by calculating the area of the shaded region in proportion to the entire distribution.
**Probability Calculation:**
Write the answer as a probability statement, indicating the probability that a waiting time between 35 and 40 minutes occurs, given the specified uniform distribution.
![**Educational Content:**
**Distribution Analysis for Bus Departure Times**
The time (in minutes) until the next bus departs a major bus depot follows a uniform distribution, given by the probability density function:
\[ f(x) = \frac{1}{20} \]
This function is valid for \(x\) ranging from 25 to 45 minutes.
**Objective:**
Find the probability that the time is between 35 and 40 minutes.
**Solution Steps:**
1. **Calculate the Probability:**
- To find the probability that the bus departs between 35 and 40 minutes, integrate the probability density function \(f(x)\) over this interval.
2. **Graphical Representation:**
- The graph of the uniform distribution is a horizontal line at \(f(x) = 0.05\) from \(x = 25\) to \(x = 45\). The area of interest (35 to 40 minutes) is shaded on this graph.
3. **Graph Explanation:**
- **First Graph:** Displays the uniform distribution from 0 to 50 minutes, with a focus between 35 and 40 minutes.
- **Second Graph:** Highlights the same interval with markings to show the probability density function value.
- **Third Graph:** Demonstrates the uniform distribution again, indicating the continuous nature of the probability distribution.
**Probability Statement:**
- Use the graphical representation and integration to confirm the probability related to the range of interest.
- Complete the sentence: "The probability of a waiting time between 35 and 40 minutes is \(\frac{1}{4}\), given waiting times from 25 to 45 minutes."
This overview helps in understanding the application of uniform distributions to real-world situations, such as predicting bus departure times.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0cc22df3-bc64-47be-bc98-9601b5672ba2%2F36b78cd7-913f-43b7-a666-9a8e4591d5ce%2Fu29781j_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Educational Content:**
**Distribution Analysis for Bus Departure Times**
The time (in minutes) until the next bus departs a major bus depot follows a uniform distribution, given by the probability density function:
\[ f(x) = \frac{1}{20} \]
This function is valid for \(x\) ranging from 25 to 45 minutes.
**Objective:**
Find the probability that the time is between 35 and 40 minutes.
**Solution Steps:**
1. **Calculate the Probability:**
- To find the probability that the bus departs between 35 and 40 minutes, integrate the probability density function \(f(x)\) over this interval.
2. **Graphical Representation:**
- The graph of the uniform distribution is a horizontal line at \(f(x) = 0.05\) from \(x = 25\) to \(x = 45\). The area of interest (35 to 40 minutes) is shaded on this graph.
3. **Graph Explanation:**
- **First Graph:** Displays the uniform distribution from 0 to 50 minutes, with a focus between 35 and 40 minutes.
- **Second Graph:** Highlights the same interval with markings to show the probability density function value.
- **Third Graph:** Demonstrates the uniform distribution again, indicating the continuous nature of the probability distribution.
**Probability Statement:**
- Use the graphical representation and integration to confirm the probability related to the range of interest.
- Complete the sentence: "The probability of a waiting time between 35 and 40 minutes is \(\frac{1}{4}\), given waiting times from 25 to 45 minutes."
This overview helps in understanding the application of uniform distributions to real-world situations, such as predicting bus departure times.
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