How large a sample would be necessary to estimate the true proportion defective in a large population within ±3%, with 95% confidence?
(Assume a pilot sample yields = 0.12)
Solution:
Given that,
= 0.12
1 - = 1 - 0.12 = 0.88
margin of error = E = 3% = 0.03
At 95% confidence level the z is ,
= 1 - 95% = 1 - 0.95 = 0.05
/ 2 = 0.05 / 2 = 0.025
Z/2 = Z0.025 = 1.960
Sample size = n = ((Z / 2) / E)2 * * (1 - )
= (1.960 / 0.03)2 * 0.12 * 0.88
= 450.73
= 451
n = sample size = 451
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