Without knowing the Current estimate of the survey, we will have to leave answer in a variable form.
Use.
ME= z√p(1-p)/n
ME is margin of error, given .05
z is z score of 95%=1.96
p is not given. This would be the current estimate from previous surveys or what would be expected.
n is survey size
So plug in and solve for n.
.05=1.96√p(1-p/n)
.05/1.962 = p(1-p)n
.0006507 = p(1-p)/n
p(1-p)/.0006507 = n
Thats as far as we can go until given a current estimate (p) from the polling organization.
When you use .95 as p, just plug into equation.
.95(1-.95/0006507=72.99, or 73 person sample size
Typically confidence level has to be calculated as:
(1-.95)/2=.250
(1-.250)=.9750
Then look up on Standard Distribution Table .9750. You will see it is 1.9 down the left column and .06 over to the right. This is 1.96 ALWAYS at 95%.
If you had 99% confidence level.
(1-.99)/2=.005
(1-.005)=.9950
When you look this up it is 2.48 ALWAYS at 99% conf. Lvl.
That is why p is usually different from confidence level, but apparently you will use confidence level as p too.
ME=z(sqrt.p(1-p)/n)
.05=1.96(sqrt .95(1-.95)/n)=72.99 or 73
Ivy C.
12/14/14