You work for a marketing firm that has a large client in the automobile industry. You have been asked to estimate the proportion of households in Chicago that have two or more vehicles. You have been assigned to gather a random sample that could be used to estimate this proportion to within a 0.03 margin of error at a 95% level of confidence.
a) With no prior research, what sample size should you gather in order to obtain a 0.03 margin of error? Round your answer up to the nearest whole number.
n = answer ______ households
b) Your firm has decided that your plan is too expensive, and they wish to reduce the sample size required. You conduct a small preliminary sample, and you obtain a sample proportion of ˆp=0.22
Using this new information. what sample size should you gather in order to obtain a 0.03 margin of error? Round your answer up to the nearest whole number.
n = answer ______ households
Solution :
Given that,
margin of error = E = 0.03
Z/2 = 1.96
(a)
= 0.5
1 - = 0.5
sample size = n = (Z / 2 / E)2 * * (1 - )
= (1.96 / 0.03)2 * 0.5 * 0.5
= 1067.1
sample size = n = 1068 households
(b)
= 0.22
1 - = 0.78
sample size = n = (Z / 2 / E)2 * * (1 - )
= (1.96 / 0.03)2 * 0.22 * 0.78
= 732.5
sample size = n = 733 households
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