Answer:
Explanation:
For this case we can define the random variable of interest as: "The nicotine content in a single cigarette " and for this case we know the following parameters:

And for this case we select a sample size of n =100 and we want to find the following probability:

And for this case we can use the z score formula given by:

And replacing we got:

And we can find the required probability with the normal standard table and we got:
