Graph the cdf of X.

MATLAB: An Introduction with Applications
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**Transcription for Educational Website**

---

**Cumulative Distribution Function (CDF) for Random Variable X**

To obtain the cumulative distribution function (CDF) of the random variable \( X \), we define \( F(x) \) as follows:

\[
F(x) =
\begin{cases}
0, & \text{if } x < 0 \\
\boxed{\text{Missing Information}}, & \text{if } 0 \leq x \leq 1 \\
1, & \text{if } x > 1
\end{cases}
\]

**Instructions:**

Graph the CDF of \( X \) based on the defined function. The missing portion needs additional information to be complete.

**Explanation:**

- For values of \( x \) less than 0, \( F(x) \) is 0.
- The value of \( F(x) \) for \( 0 \leq x \leq 1 \) is missing and needs to be determined.
- For values of \( x \) greater than 1, \( F(x) \) is 1.

---

Please ensure to verify and fill in any missing information regarding \( 0 \leq x \leq 1 \) before graphing.
Transcribed Image Text:**Transcription for Educational Website** --- **Cumulative Distribution Function (CDF) for Random Variable X** To obtain the cumulative distribution function (CDF) of the random variable \( X \), we define \( F(x) \) as follows: \[ F(x) = \begin{cases} 0, & \text{if } x < 0 \\ \boxed{\text{Missing Information}}, & \text{if } 0 \leq x \leq 1 \\ 1, & \text{if } x > 1 \end{cases} \] **Instructions:** Graph the CDF of \( X \) based on the defined function. The missing portion needs additional information to be complete. **Explanation:** - For values of \( x \) less than 0, \( F(x) \) is 0. - The value of \( F(x) \) for \( 0 \leq x \leq 1 \) is missing and needs to be determined. - For values of \( x \) greater than 1, \( F(x) \) is 1. --- Please ensure to verify and fill in any missing information regarding \( 0 \leq x \leq 1 \) before graphing.
Let \( X \) denote the amount of space occupied by an article placed in a 1-ft\(^3\) packing container. The probability density function (pdf) of \( X \) is below.

\[
f(x) = 
\begin{cases} 
90x^8(1-x) & \text{for } 0 < x < 1 \\
0 & \text{otherwise}
\end{cases}
\]

(a) Graph the pdf.
Transcribed Image Text:Let \( X \) denote the amount of space occupied by an article placed in a 1-ft\(^3\) packing container. The probability density function (pdf) of \( X \) is below. \[ f(x) = \begin{cases} 90x^8(1-x) & \text{for } 0 < x < 1 \\ 0 & \text{otherwise} \end{cases} \] (a) Graph the pdf.
Expert Solution
Step 1: Determine the given data in the question

Let X be the given random variable that is the amount of space occupied by an article placed.

The pdf is,

f left parenthesis x right parenthesis equals 90 x to the power of 8 left parenthesis 1 minus x right parenthesis space space space space space 0 less than x less than 1
space space space space space space equals space 0 space space space space space space space space space space space space space space space space space space space space space O t h e r w i s e


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