Answer:

Explanation:
For this case we define X as our random variable representing the lenghts of her classes in minutes.
We know that the distribution for X is uniform and is given by:

The density function is given by:

for other case
The cumulative distirbution function is given by:

And we want to find this probability:

We can find this probability using the cumulative distribution function and we got:
