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In 1992, the FFA conducted 86,991 pre employment drug tests on job applicants who were to be engaged in safety and security related jobs and found that 1143 were positive. a.) Construct a 95 percent confidence interval for the population proportion of the positive drug tests. b.) Why is the normality assumption not an problem, despite the very small value of p? Explain
Submitted: 544 days and 18 hours ago.
Category: Math
Value: $15
Status: CLOSED
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Hi there!
The confidence interval for a proportion goes from:
p - z*sqrt(p(1-p)/N) to p + z*sqrt(p(1-p)/N)
p is the proportion that we are given, z is the z value for the 95% interval (1.96, from a table), and N is the sample size
N = 86991
z = 1.96
p = 1143/86991 = 0.013139
1-p = 0.986861
0.013139 - 1.96*sqrt(0.013139*0.986861/86991) to 0.013139 + 1.96*sqrt(0.013139*0.986861/86991)
Do the math:
0.01238 to 0.01390
We are allowed to do this question, even though P is small, because Np and N(1-p) are both reasonably sized (more than 10):
Np = 1143
N(1-p) = 85848
We have enough "hits" of both negative and positive results. Our sample is large enough (greater than 1000) that even with a tiny "p" value, we can make the normality assumption.
Let me know if you have any questions. If not, thanks for pressing "Accept".
-Scott
Expert:
Scott
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Answered:
5/26/2008
MIT Graduate
College degree in math... proficient in all levels -- from algebra to calculus
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