The probability that the next on-the-job injury will occur within 10, 5, and 1 day are 0.632, 0.393, and 0.095
It is defined as the ratio of the number of favourable outcomes to the total number of outcomes, in other words, the probability is the number that shows the happening of the event.
We know the exponential distribution is given by;
[tex]\rm P(X < t)=1-e^{-\dfrac{1}{\mu}t}[/tex]
The probability that the next on-the-job injury will occur within 10 days:
[tex]\rm P(X < 10)=1-e^{-\dfrac{1}{10}10}[/tex]
P(X< 10) = 0.632
The probability that the next on-the-job injury will occur within 20 days:
[tex]\rm P(X < 5)=1-e^{-\dfrac{1}{10}5}[/tex]
P(X< 5) = 0.393
The probability that the next on-the-job injury will occur within 1 days:
[tex]\rm P(X < 1)=1-e^{-\dfrac{1}{10}1}[/tex]
P(X< 1) = 0.095
Thus, the probability that the next on-the-job injury will occur within 10, 5, and 1 day are 0.632, 0.393, and 0.095
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