Hi Aubree,
We need to check and make sure we can use the Central Limit Theorem to assume normality. This requires np and n(1-p) to exceed 5 where:
n=sample size
p=probability we are given
p=328/400=0.82
np=0.82*400=328
1-p=0.18
n(1-p)=72
We're good to go. The formula for a confidence interval for a proportion is:
CI=p-hat +/- sqrt(p-hat(1-p-hat)/n)
Let's break this down:
p-hat=probability estimate
1-p-hat=1-probability estimate
n=sample size
Now, let's identify our values:
p-hat=328/400
p-hat=0.82
1-p-hat=0.18
n=400
CI=0.82 +/-sqrt[(0.82*0.18)/(400)]=
CI=0.82 +/- 0.019
To two decimals, this works out to:
CI= 0.82 +/- 0.02=
(0.80,0.84)
Lower Bound=0.80
Upper Bound=0.84
I hope this helps.