Answer:
a) For this case the mean is given by:

The variance is given by:

And the deviation would be:

b) For this case we want to find this probability:

And we can use the cumulative distribution function given by:

And using this we got:

Explanation:
For this case we define the random variable X as the hickness of a protective coating applied to a conductor and we know that the distribution of X is given by:

Part a
For this case the mean is given by:

The variance is given by:

And the deviation would be:

Part b
For this case we want to find this probability:

And we can use the cumulative distribution function given by:

And using this we got:
