Question

A) Look at table below. Find the probability the student is a female ages 25-34. B) Find the probability student is under 25 and not a male?

                    **Ages 18-24                Ages  25-34**

male 7922 2534
female 5779 995

Answer 1

`A=995/17230~=5.77%, B=5779/17230~=33.54%`

Explanation:

I'll rewrite the table here (with totals added):

`((color(white)(0),18-24,25-34,"Totals"),("Male",7922,2534,10456),("Female",5779,995,6774),("Totals",13701,3529,17230))`

A - Female 25-34

There are 995 people that meet those conditions out of the 17230 total people:

`P("Female, age 25-34")=995/17230~=5.77%`

B-Not male, under 25

If we're looking at people who aren't male, we're looking at females.

If we're looking at people under 25, we're looking at the 18-24 category.

That puts us into the Female, 18-24 category with a population of 5779:

`P("Not male, under age 25-34")=5779/17230~=33.54%`