Question
Question: A manufacturing concern employing a large number of workers finds that, over a period of time, the a...
A manufacturing concern employing a large number of workers finds that, over a period of time, the average absentee rate is 2 workers per shift. The probability that exactly 2 workers will be absent in a chosen shift at random is
Solution
According to the question we have to determine the probability that exactly 2 workers will be absent in a chosen shift at random when a manufacturing concern employing a large number of workers finds that, over a period of time, the average absentee rate is 2 workers per shift. So, first of all we have to use the Poisson distribution rule as explained below:
Poisson distribution rule: The Poisson distribution is the discrete probability distribution of the number of given events occurring in a given time period, given the average number of times the event occurs over that time period.
Formula used: ⇒P(x;μ)=x!e−1μx...............(A)
Where, x is the actual number of successes that occur in a specified region, μis the mean number of successes that occur in a specified region, and P(x;μ)is the Poisson probability that exactly x success occurs in a Poisson experiment.
Complete step-by-step solution:
Step 1: First of all we have to determine the mean number of successes is μand as in the question μ= 2 and x = 2 (number of 2 workers)
Step 2: Now, we have to substitute all the values in the formula (A) as mentioned in the solution hint. Hence,
⇒P(2;2)=2!e−222
Step 3: Now, to obtain the values of expression we have to solve the expression (1) as obtained in the solution step 2. Hence,
⇒P(2;2)=2×1e−22×2 ⇒P(2;2)=2e−2
Final solution: Hence, with the help of the formula (A) as mentioned in the solution hint we have obtained the probability that exactly 2 workers will be absent in a chosen shift at random is P(2;2)=2e−2
Note: The Poisson distribution is a discrete probability for the counts of events that occur randomly in a given interval of time and we have to let X as the number of events in a given interval and then if the mean number of events per interval isμ.
In Poisson distribution e is a mathematical constant where, e=2.718282 and μ is the parameter of the distribution.