Exercise
The lifetime of a machine part has a continuous distribution on the interval (0, 40) with probability density function [math]f(x)[/math], where [math]f(x)[/math] is proportional to [math](10+x)^{-2}[/math] on the interval.
Calculate the probability that the lifetime of the machine part is less than 6.
- 0.04
- 0.15
- 0.47
- 0.53
- 0.94
The lifetime of a machine part has a continuous distribution on the interval [math](0, 40)[/math]. The probability density function (PDF) is given to be proportional to [math](10+x)^{-2}[/math], so we can write it in the form:
With the proportionality constant [math]C = 12.5[/math], the probability density function is [math]f(x) = 12.5(10+x)^{-2}[/math]. We need to calculate the probability that the lifetime of the machine part is less than 6. This is found by integrating the PDF from 0 to 6:
- For any probability density function (PDF), the total probability over its entire support must integrate to 1. This normalization condition is crucial for determining proportionality constants.
- To calculate the probability of a continuous random variable falling within a specific range, integrate its PDF over that given interval.
- Problems involving proportionality often require an initial step to determine the exact functional form of the PDF, typically by finding a constant of proportionality.
- Familiarity with basic integration techniques, especially for power functions, is essential for solving problems in continuous probability distributions.
Solution: C
We know the density has the form [math]C (10 + x )^{-2}[/math] for [math]0 \lt x \lt 40 [/math] (equals zero otherwise). First, determine the proportionality constant [math]C[/math] from the condition [math]\int_{0}^{40} f(x) dx = 1 [/math]:
so [math]C = 25/2 [/math], or 12.5. Then, calculate the probability over the interval (0, 6):