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Question

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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Accepted Answer

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

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Expert: Scott
Pos. Feedback: 100.0 %
Accepts: 
Answered: 5/26/2008

MIT Graduate

College degree in math... proficient in all levels -- from algebra to calculus

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