You want to obtain a sample to estimate a population proportion. Based on previous evidence, you believe the population proportion is approximately p ∗ = 39 % . You would like to be 90% confident that your estimate is within 2% of the true population proportion. How large of a sample size is required?
How would I get this and where can I find a correct chart to base my z-table numbers off of to help me solve this easier?
Solution :
Given that,
= 0.39
1 - = 1 - 0.39 = 0.61
margin of error = E = 2% = 0.02
At 90% confidence level z
= 1 - 90%
= 1 - 0.90 =0.10
/2
= 0.05
Z/2
= Z0.05 = 1.645 ( using standard normal z
table)
Sample size = n = (Z/2 / E)2 * * (1 - )
= (1.645 / 0.02)2 * 0.39 * 0.61
=1609
Sample size = 1609
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