Answer:
The probability that the instrument does not fail in an 8-hour shift is [tex]P(X=0) \approx 0.8659[/tex]
The probability of at least 1 failure in a 24-hour day is [tex]P(X\geq 1 )\approx 0.3508[/tex]
Step-by-step explanation:
The probability distribution of a Poisson random variable X representing the number of successes occurring in a given time interval or a specified region of space is given by the formula:
[tex]P(X)=\frac{e^{-\mu}\mu^x}{x!}[/tex]
Let X be the number of failures of a testing instrument.
We know that the mean [tex]\mu = 0.018[/tex] failures per hour.
(a) To find the probability that the instrument does not fail in an 8-hour shift, you need to:
For an 8-hour shift, the mean is [tex]\mu=8\cdot 0.018=0.144[/tex]
[tex]P(X=0)=\frac{e^{-0.144}0.144^0}{0!}\\\\P(X=0) \approx 0.8659[/tex]
(b) To find the probability of at least 1 failure in a 24-hour day, you need to:
For a 24-hour day, the mean is [tex]\mu=24\cdot 0.018=0.432[/tex]
[tex]P(X\geq 1 )=1-P(X=0)\\\\P(X\geq 1 )=1-\frac{e^{-0.432}0.432^0}{0!}\\\\P(X\geq 1 )\approx 0.3508[/tex]