Answer:
a. 385
b. 342
Explanation:
To solve the problem we do the following:
The equation to calculate the sample size is:
![n = (p)(q)((z)/(E))^2](https://img.qammunity.org/2021/formulas/mathematics/college/chfxn1com4zbn5uei59l0n4qkbtae8gla1.png)
a)
We have the following data:
Since no estimate of proportion is given, we will assume: p = q = 0.5
We know that For 95% confidence, z = 1.96
Width = 0.10
Hence, the margin of error would be:
0.10 / 2 = 0.05
E = 0.05
And so we can calculate sample size:
![n = (0.5)(0.5)((1.96)/(0.05))^2](https://img.qammunity.org/2021/formulas/mathematics/college/6slb5mm9zvhg6synqgu96wk9do3adsusxh.png)
n = 385
b)
We have the following data for this point:
p = 2/3
q = 1 - p
q = 1 - 2/3
q = 1/3
And so we can calculate sample size:
![n = (2/3)(1/3)((1.96)/(0.05))^2](https://img.qammunity.org/2021/formulas/mathematics/college/eveiwed8oii3rfcmf7fc0p1gvjugb42y6s.png)
n = 342