Suppose there is a random variable X whose probability density function has the form (shown in image). a) Find P(X>-0.2) b) Find the 90th percentile

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Suppose there is a random variable X whose probability density function has the form (shown in image).

a) Find P(X>-0.2)

b) Find the 90th percentile

The piecewise function \( f(x) \) is defined as follows:

\[ 
f(x) = 
\begin{cases} 
1 + x, & \text{if } -1 \leq x < 0 \\ 
1 - x, & \text{if } 0 \leq x < 1 \\
0, & \text{otherwise.}
\end{cases}
\]

This piecewise function specifies different expressions for different intervals of \( x \). Here's a breakdown of each part:

- For values of \( x \) between \(-1\) and \(0\) (inclusive of \(-1\) and exclusive of \(0\)), the function is defined as \( f(x) = 1 + x \).
- For values of \( x \) between \(0\) and \(1\) (inclusive of \(0\) and exclusive of \(1\)), the function is \( f(x) = 1 - x \).
- For values of \( x \) outside the interval \([-1, 1)\), the function is \( f(x) = 0 \).

This function is commonly used in mathematical contexts to represent different behaviors over specified domains.
Transcribed Image Text:The piecewise function \( f(x) \) is defined as follows: \[ f(x) = \begin{cases} 1 + x, & \text{if } -1 \leq x < 0 \\ 1 - x, & \text{if } 0 \leq x < 1 \\ 0, & \text{otherwise.} \end{cases} \] This piecewise function specifies different expressions for different intervals of \( x \). Here's a breakdown of each part: - For values of \( x \) between \(-1\) and \(0\) (inclusive of \(-1\) and exclusive of \(0\)), the function is defined as \( f(x) = 1 + x \). - For values of \( x \) between \(0\) and \(1\) (inclusive of \(0\) and exclusive of \(1\)), the function is \( f(x) = 1 - x \). - For values of \( x \) outside the interval \([-1, 1)\), the function is \( f(x) = 0 \). This function is commonly used in mathematical contexts to represent different behaviors over specified domains.
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