Answer:
1,539
Step-by-step explanation:
Using Simple Random Sampling in an infinite population (this is such a large population that we do not know the exact number) we have that the sample size should be the nearest integer to
[tex]\large \frac{Z^2pq}{e^2}[/tex]
where
Z= the z-score corresponding to the confidence level, in this case 90%, so Z=1.645 (this means that the area under the Normal N(0,1) between [-1.645,1.645] is 90%=0.9)
p= the proportion of young urban people (ages 21 to 35 years) who go to at least 3 concerts a year= 35% = 0.35
q = 1-p = 0.65
e = the error proportion = 2% = 0.02
Making the calculations
[tex]\large \frac{Z^2pq}{e^2}=\frac{(1.645)^2*0.35*0.65}{(0.02)^2}=1,539.09[/tex]
So, the sample size should be 1,539 young urban people (ages 21 to 35 years)