Joshua L. answered 10/20/23
Experienced Math and Stats Tutor for All Ages
Hi Bailey,
We have normally distributed data and known standard deviation, so we can use z. We are looking for the sample size n, and the formula is:
n=[(za/2)*sigma2]/E2
Let’s break this down.
n=sample size we are looking for
za/2=z-critical value
sigma=population standard deviation
E=Acceptable Error
Now, the trickiest part may be getting correct z-critical value—96% confidence intervals are not common, so memorization is impractical. To get za/2, we first must get alpha, the significance level. Formula for that:
a=1-c
a=alpha
c=confidence level
Here, c=0.96, so:
a=1-0.96
a=0.04
Now, the formula specifies a/2, so we do:
0.04/2=0.02
Now, we need to remember that this is two-sided, which means we take:
1-0.02=0.98
Look for that value on interior of z-table. Closest value I have is 0.9798, which corresponds to:
z=2.05
So,
za/2=2.05
Now, we have all we need to compute n, the minimum sample size:
n=[za/2*sigma2]/E2
za/2=2.05
sigma=300
E=15
n=[2.05*3002]/152
n=820
I hope this helps.