Answer:
The sample size is

Explanation:
From the question we are told that
The margin of error is

Given that the confidence level is 95% then the level of significance can be mathematically evaluated as



Next we would obtain the critical value of
from the z-table , the values is

The reason we are obtaining critical value of
instead of
is because
represents the area under the normal curve where the confidence level interval (
) did not cover which include both the left and right tail while
is just the area of one tail which what we required to calculate the sample size
NOTE: We can also obtain the value using critical value calculator (math dot armstrong dot edu)
Generally the sample size is mathematically evaluated as
![n = [ \frac{Z_{(\alpha )/(2) }}{E} ]^2 * \r p (1- \r p)](https://img.qammunity.org/2021/formulas/mathematics/college/ldj47i6r5gbujynj7o3tnos1pglj0zyx15.png)
Where
is the proportion of sample taken which we will assume to be
substituting values
![n = [( 1.96)/(0.02) ]^2 *( 0.5 (1- 0.5)](https://img.qammunity.org/2021/formulas/mathematics/college/fjkbe9xx5jlhmftrgpbksjaow8q1g0ui4k.png)
