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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**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.
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.
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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