Answer:
Mean is 6
Variance is 5.33
Explanation:
An uniform probability is a case of probability in which each outcome is equally as likely.
For this situation, we have a lower limit of the distribution that we call a and an upper limit that we call b.
The mean of the distribution is:

The variance of the distribution is:

Uniformly distributed between 2 and 10 minutes.
This means that

Mean

