Direct mail advertisers send solicitations ("junk mail") to thousands of potential customers in the hope that some will buy the company's product. The response rate is usually quite low. Suppose a company wants to test the response to a new flyer and sends it to 1140 people randomly selected from their mailing list of over 200,000 people. They get orders from 108 of the recipients. Complete parts a through d below.
a) Create a 90% confidence interval for the percentage of people the company contacts who may buy something.
(___%,___%)
(Round to one decimal place as needed. Use ascending order.)
Solution:
Confidence interval for Population Proportion is given as below:
Confidence Interval = P ± Z* sqrt(P*(1 – P)/n)
Where, P is the sample proportion, Z is critical value, and n is sample size.
We are given
Number of favourable observations = x = 108
Sample size = n = 1140
P = x/n = 108/1140 = 0.094736842
Confidence level = 90%
Critical Z value = 1.6449
(by using z-table)
Confidence Interval = P ± Z* sqrt(P*(1 – P)/n)
Confidence Interval = 0.094736842 ± 1.6449* sqrt(0.094736842*(1 – 0.094736842)/1140)
Confidence Interval = 0.094736842 ± 1.6449*0.0087
Confidence Interval = 0.094736842 ± 0.0143
Lower limit = 0.094736842 - 0.0143 = 0.0805
Upper limit = 0.094736842 + 0.0143 = 0.1090
Confidence interval = (8.1%, 10.9%)
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