Suppose that the length X of the life (in years) of a battery for a computer has a distribution that can be described by the pdf: 2 f(x) = 49 Determine the probability that the battery fails before the one year warranty expires on the computer.

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**Problem Statement:**

Suppose that the length X of the life (in years) of a battery for a computer has a distribution that can be described by the probability density function (pdf):

\[
f(x) = \frac{x}{49} e^{-\frac{x^2}{98}}
\]

Determine the probability that the battery fails before the one-year warranty expires on the computer.

**Explanation of the Function:**

The function \( f(x) \) is a probability density function that models the distribution of battery life. Here:

- \( x \) represents the years of battery life.
- The coefficient \( \frac{x}{49} \) is a scaling factor for the probability.
- \( e^{-\frac{x^2}{98}} \) is the exponential part of the function, where \( e \) is Euler's number.

To solve this problem, you would integrate the function from 0 to 1 to find the probability that the battery fails within the first year.
Transcribed Image Text:**Problem Statement:** Suppose that the length X of the life (in years) of a battery for a computer has a distribution that can be described by the probability density function (pdf): \[ f(x) = \frac{x}{49} e^{-\frac{x^2}{98}} \] Determine the probability that the battery fails before the one-year warranty expires on the computer. **Explanation of the Function:** The function \( f(x) \) is a probability density function that models the distribution of battery life. Here: - \( x \) represents the years of battery life. - The coefficient \( \frac{x}{49} \) is a scaling factor for the probability. - \( e^{-\frac{x^2}{98}} \) is the exponential part of the function, where \( e \) is Euler's number. To solve this problem, you would integrate the function from 0 to 1 to find the probability that the battery fails within the first year.
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