Answer:
![P(A')=1-0.411=0.589](https://tex.z-dn.net/?f=P%28A%27%29%3D1-0.411%3D0.589)
And that represent the probability that they take longer than 7 minutes to solve the puzzles.
Step-by-step explanation:
The complement rule is a theorem that provides a connection between the probability of an event and the probability of the complement of the event. Lat A the event of interest and A' the complement. The rule is defined by: ![P(A)+P(A') =1](https://tex.z-dn.net/?f=P%28A%29%2BP%28A%27%29%20%3D1)
On this case we have that n= 56 represent the employees selected to solve the puzzles.
We know that 23 out of the 56 selected solved the puzzles in less than 7 minutes.
Let's define the events A and A' like this:
A: Employees solved puzzles in less than 7 minutes
By the complement rule then:
A' : Employees solved puzzles in more than 7 minutes
Based on this we are interested to find the probability for A'
We can begin finding P(A), from the definition of probability we know:
![P(A)=\frac{Possible outcomes}{Total outcomes}](https://tex.z-dn.net/?f=P%28A%29%3D%5Cfrac%7BPossible%20outcomes%7D%7BTotal%20outcomes%7D)
For this case if we replace we got:
![P(A) =\frac{23}{56}=0.411](https://tex.z-dn.net/?f=P%28A%29%20%3D%5Cfrac%7B23%7D%7B56%7D%3D0.411)
And using the complemnt rule we got:
![0.411 +P(A')=1](https://tex.z-dn.net/?f=0.411%20%2BP%28A%27%29%3D1)
And solving for P(A') we got:
![P(A')=1-0.411=0.589](https://tex.z-dn.net/?f=P%28A%27%29%3D1-0.411%3D0.589)
And that represent the probability that they take longer than 7 minutes to solve the puzzles.