Answer:
a) X has a mean of 25 and a variance of 8.
b) The probability that the total weight X is between 22 and 28 oz is 0.711.
Explanation:
We have to calculate the mean and variance of a sum of random normal variables.
We can apply the rule for mean and variance for sum of independent variables:

Then, the mean and variance of X is:

We can calculate the probability that X is between 22 and 28 as:
