et X denote the amount of time a book on two-hour reserve is actually checked out, and suppose the cdf is the following F(x) = Use the cdf to obtain the following. (If necessary, round your answer to four decimal places.) (a) Calculate P(X ≤ 3). 0.36 (c) Calculate P(X> 3.5). 51 0 (b) Calculate P(2.5 ≤ x ≤ 3). 11 { 25 1 2 (d) What is the median checkout duration ? [solve 0.5 = F(μ)]. 3.535 X x x < 0 0

A First Course in Probability (10th Edition)
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ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
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I can't figure out parts D and F. For part D I did 25 times .5 =  mu tilde2 and I got 3.536 and it said it was wrong. I also tried 3.535 and that was also wrong, so I don't know what I'm doing wrong. For part F I did some steps I can't explain in here. Can you please help me with parts D and F?

**Cumulative Distribution Function (CDF) and Related Calculations**

Let \( X \) denote the amount of time a book on two-hour reserve is actually checked out. The cumulative distribution function (CDF) is given by:

\[
F(x) = 
\begin{cases} 
0 & x < 0 \\
\frac{x^2}{25} & 0 \le x < 5 \\
1 & 5 \le x 
\end{cases}
\]

**Use the CDF to obtain the following: (If necessary, round your answer to four decimal places.)**

**(a) Calculate \( P(X \leq 3) \).**

- Answer: 0.36 ✓

**(b) Calculate \( P(2.5 \leq X \leq 3) \).**

- Answer: 0.11 ✓

**(c) Calculate \( P(X > 3.5) \).**

- Answer: 0.51 ✓

**(d) What is the median checkout duration \(\tilde{\mu}\)? [Solve \( 0.5 = F(\tilde{\mu}) \)].**

- Proposed Answer: 3.535 ✗

**(e) Obtain the density function \( f(x) \).**

The density function \( f(x) = F'(x) \) is provided by:

\[
f(x) = 
\begin{cases} 
\frac{2}{25}x & 0 \le x < 5 \\
0 & \text{otherwise}
\end{cases}
\]

**(f) Calculate \( E(X) \).**

- Proposed Answer: 3.333 ✗ 

(Graphs or diagrams are not present in the image and thus are not explained here.)
Transcribed Image Text:**Cumulative Distribution Function (CDF) and Related Calculations** Let \( X \) denote the amount of time a book on two-hour reserve is actually checked out. The cumulative distribution function (CDF) is given by: \[ F(x) = \begin{cases} 0 & x < 0 \\ \frac{x^2}{25} & 0 \le x < 5 \\ 1 & 5 \le x \end{cases} \] **Use the CDF to obtain the following: (If necessary, round your answer to four decimal places.)** **(a) Calculate \( P(X \leq 3) \).** - Answer: 0.36 ✓ **(b) Calculate \( P(2.5 \leq X \leq 3) \).** - Answer: 0.11 ✓ **(c) Calculate \( P(X > 3.5) \).** - Answer: 0.51 ✓ **(d) What is the median checkout duration \(\tilde{\mu}\)? [Solve \( 0.5 = F(\tilde{\mu}) \)].** - Proposed Answer: 3.535 ✗ **(e) Obtain the density function \( f(x) \).** The density function \( f(x) = F'(x) \) is provided by: \[ f(x) = \begin{cases} \frac{2}{25}x & 0 \le x < 5 \\ 0 & \text{otherwise} \end{cases} \] **(f) Calculate \( E(X) \).** - Proposed Answer: 3.333 ✗ (Graphs or diagrams are not present in the image and thus are not explained here.)
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I don't know how to do parts G and H. Can you please help me? 

Let \( X \) denote the amount of time a book on two-hour reserve is actually checked out, and suppose the cumulative distribution function (cdf) is the following:

\[
F(x) = 
\begin{cases} 
0 & x < 0 \\
\frac{x^2}{25} & 0 \leq x < 5 \\
1 & 5 \leq x 
\end{cases}
\]

Use the cdf to obtain the following. (If necessary, round your answer to four decimal places.)

**(a)** Calculate \( P(X \leq 3) \).

\[
0.36 \quad \checkmark
\]

**(b)** Calculate \( P(2.5 \leq X \leq 3) \).

\[
0.11 \quad \checkmark
\]

**(c)** Calculate \( P(X > 3.5) \).

\[
0.51 \quad \checkmark
\]

**(d)** What is the median checkout duration \( \tilde{\mu} \)? [Solve \( 0.5 = F(\tilde{\mu}) \)].

\[
3.5355 \quad \checkmark
\]

**(e)** Obtain the density function \( f(x) \).

\[
f(x) = F'(x)
\]

\[
f(x) = 
\begin{cases} 
\frac{2x}{25} & 0 \leq x < 5 \\
0 & \text{otherwise}
\end{cases}
\quad \checkmark
\]

**(f)** Calculate \( E(X) \).

\[
3.3333 \quad \checkmark
\]

**(g)** Calculate \( V(X) \) and \( \sigma_X \).
Transcribed Image Text:Let \( X \) denote the amount of time a book on two-hour reserve is actually checked out, and suppose the cumulative distribution function (cdf) is the following: \[ F(x) = \begin{cases} 0 & x < 0 \\ \frac{x^2}{25} & 0 \leq x < 5 \\ 1 & 5 \leq x \end{cases} \] Use the cdf to obtain the following. (If necessary, round your answer to four decimal places.) **(a)** Calculate \( P(X \leq 3) \). \[ 0.36 \quad \checkmark \] **(b)** Calculate \( P(2.5 \leq X \leq 3) \). \[ 0.11 \quad \checkmark \] **(c)** Calculate \( P(X > 3.5) \). \[ 0.51 \quad \checkmark \] **(d)** What is the median checkout duration \( \tilde{\mu} \)? [Solve \( 0.5 = F(\tilde{\mu}) \)]. \[ 3.5355 \quad \checkmark \] **(e)** Obtain the density function \( f(x) \). \[ f(x) = F'(x) \] \[ f(x) = \begin{cases} \frac{2x}{25} & 0 \leq x < 5 \\ 0 & \text{otherwise} \end{cases} \quad \checkmark \] **(f)** Calculate \( E(X) \). \[ 3.3333 \quad \checkmark \] **(g)** Calculate \( V(X) \) and \( \sigma_X \).
### Educational Content on Probability and Statistics

#### Problem Summary and Solutions

**(c) Calculate \( P(X > 3.5) \):**  
The probability that the random variable \( X \) is greater than 3.5 is 0.51.

**(d) Median Checkout Duration \( \tilde{\mu} \):**  
To find the median checkout duration, solve \( 0.5 = F(\tilde{\mu}) \). The median duration is 3.5355.

**(e) Density Function \( f(x) \):**  
The density function can be obtained by taking the derivative of the cumulative distribution function \( F(x) \):
\[ 
f(x) = F'(x) = 
\begin{cases} 
\frac{2}{25} x & \text{for } 0 \leq x < 5 \\
0 & \text{otherwise}
\end{cases}
\]

**(f) Expected Value \( E(X) \):**  
The expected value of the random variable \( X \) is 3.3333.

**(g) Variance \( V(X) \) and Standard Deviation \( \sigma_X \):**  
The variance \( V(X) \) and standard deviation \( \sigma_X \) are not provided in the image and may need to be calculated using additional information.

**(h) Expected Charge \( E[h(X)] \):**  
If the borrower is charged an amount \( h(X) = X^2 \) based on the checkout duration \( X \), the expected charge \( E[h(X)] \) is not provided in the image and requires additional calculation based on the given density function.

### Explanation of Concepts

- **Cumulative Distribution Function (CDF):** The function \( F(x) \) represents the probability that a random variable \( X \) will take a value less than or equal to \( x \).
  
- **Probability Density Function (PDF):** The derivative of the CDF, \( f(x) \), provides the likelihood of the random variable \( X \) being exactly equal to \( x \).

- **Expected Value:** The mean or average value of the random variable, calculated by integrating the product of the variable and its PDF over its entire range.

- **Variance and Standard Deviation:** Measures of the spread of the random variable's values. Variance is the expectation of
Transcribed Image Text:### Educational Content on Probability and Statistics #### Problem Summary and Solutions **(c) Calculate \( P(X > 3.5) \):** The probability that the random variable \( X \) is greater than 3.5 is 0.51. **(d) Median Checkout Duration \( \tilde{\mu} \):** To find the median checkout duration, solve \( 0.5 = F(\tilde{\mu}) \). The median duration is 3.5355. **(e) Density Function \( f(x) \):** The density function can be obtained by taking the derivative of the cumulative distribution function \( F(x) \): \[ f(x) = F'(x) = \begin{cases} \frac{2}{25} x & \text{for } 0 \leq x < 5 \\ 0 & \text{otherwise} \end{cases} \] **(f) Expected Value \( E(X) \):** The expected value of the random variable \( X \) is 3.3333. **(g) Variance \( V(X) \) and Standard Deviation \( \sigma_X \):** The variance \( V(X) \) and standard deviation \( \sigma_X \) are not provided in the image and may need to be calculated using additional information. **(h) Expected Charge \( E[h(X)] \):** If the borrower is charged an amount \( h(X) = X^2 \) based on the checkout duration \( X \), the expected charge \( E[h(X)] \) is not provided in the image and requires additional calculation based on the given density function. ### Explanation of Concepts - **Cumulative Distribution Function (CDF):** The function \( F(x) \) represents the probability that a random variable \( X \) will take a value less than or equal to \( x \). - **Probability Density Function (PDF):** The derivative of the CDF, \( f(x) \), provides the likelihood of the random variable \( X \) being exactly equal to \( x \). - **Expected Value:** The mean or average value of the random variable, calculated by integrating the product of the variable and its PDF over its entire range. - **Variance and Standard Deviation:** Measures of the spread of the random variable's values. Variance is the expectation of
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