An automobile insurance company wants to determine from a sample, what proportion of its thousands of policyholders intend to buy a new car within the next twelve months. Assume a 95 percent level of confidence. A committee within the company estimates that the proportion of policyholders planning to buy a new car in the next twelve months is 0.7. How large a sample is needed if the company wants to be within 0.03 of the true proportion? How large a sample is needed if the company wants to be within 0.03 of the true population, but no estimate is available?
Solution :
Given that,
(a)
= 0.7
1 - = 0.3
margin of error = E = 0.03
Z/2 = 1.96
sample size = n = (Z / 2 / E)2 * * (1 - )
= (1.96 / 0.03)2 * 0.7 * 0.3
= 897
sample size = n = 897
(b)
= 0.5
1 - = 0.5
sample size = n = (Z / 2 / E)2 * * (1 - )
= (1.96 / 0.03)2 * 0.5 * 0.5
= 1068
sample size = n = 1068
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