First, we need to find the z-score usign the next formula
![z=(x-\mu)/\sigma](https://img.qammunity.org/2023/formulas/mathematics/college/ypjdildbggx5u82u0ybezubhmw12gjz5ks.png)
x is the score
μ is the mean
σ is the standard deviation
In our case
The mean (μ) = 4
The standard division (σ )= 1
The calls lasted less than (x)=3
we substitute the values
![z=(3-4)/(1)=-1](https://img.qammunity.org/2023/formulas/mathematics/college/a9k6hg8an6l7tsv3yiv1c3x3bghzcqtk17.png)
the with tables we can find the probability for the value of z given
![P(x<3)=0.15866*100\text{\%=15.87\%}=16\text{\%}](https://img.qammunity.org/2023/formulas/mathematics/college/2qi18out7c5rndndlv2vn7iqdmngoaojtq.png)
percentage of the calls that lasted less than 3 min is 15.87% approximately 16%