What is the probability that total waiting time is at most 4 min? What is the probability that total waiting time is between 4 and 8 min? What is the probability that total waiting time is either less than 3 min

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What is the probability that total waiting time is at most 4 min?

What is the probability that total waiting time is between 4 and 8 min?

What is the probability that total waiting time is either less than 3 min or more than 9 min?

In commuting to work, a professor must first get on a bus near her house and then transfer to a second bus. If the waiting time (in minutes) at each stop has a uniform distribution with \( A = 0 \) and \( B = 5 \), then it can be shown that the total waiting time \( Y \) has the probability density function (pdf) below.

\[
f(y) = 
\begin{cases} 
\frac{1}{25}y & 0 \leq y < 5 \\
\frac{2}{5} - \frac{1}{25}y & 5 \leq y \leq 10 \\
0 & y < 0 \text{ or } y > 10 
\end{cases}
\]

**Explanation:**

The piecewise function defines the probability density function of the total waiting time \( Y \):

- For \( 0 \leq y < 5 \), the pdf is given by \( \frac{1}{25}y \), which indicates a linear increase in probability density.
  
- For \( 5 \leq y \leq 10 \), the pdf is \( \frac{2}{5} - \frac{1}{25}y \), showing a linear decrease in probability density.
  
- For \( y < 0 \) or \( y > 10 \), the pdf is 0, indicating that these waiting times are not possible.

The diagram can typically be interpreted as a triangular shape, starting from zero, rising to a peak, and then descending back to zero across the interval \( [0, 10] \).
Transcribed Image Text:In commuting to work, a professor must first get on a bus near her house and then transfer to a second bus. If the waiting time (in minutes) at each stop has a uniform distribution with \( A = 0 \) and \( B = 5 \), then it can be shown that the total waiting time \( Y \) has the probability density function (pdf) below. \[ f(y) = \begin{cases} \frac{1}{25}y & 0 \leq y < 5 \\ \frac{2}{5} - \frac{1}{25}y & 5 \leq y \leq 10 \\ 0 & y < 0 \text{ or } y > 10 \end{cases} \] **Explanation:** The piecewise function defines the probability density function of the total waiting time \( Y \): - For \( 0 \leq y < 5 \), the pdf is given by \( \frac{1}{25}y \), which indicates a linear increase in probability density. - For \( 5 \leq y \leq 10 \), the pdf is \( \frac{2}{5} - \frac{1}{25}y \), showing a linear decrease in probability density. - For \( y < 0 \) or \( y > 10 \), the pdf is 0, indicating that these waiting times are not possible. The diagram can typically be interpreted as a triangular shape, starting from zero, rising to a peak, and then descending back to zero across the interval \( [0, 10] \).
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fy=125y           0y<525-125y   5y10   0                y<0 or y>10

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