Question

In: Statistics and Probability

An audit firm surveyed salespeople cheating on their expense reports and other unethical conduct. In the...

An audit firm surveyed salespeople cheating on their expense reports and other unethical conduct. In the survey of 200 managers, 58% of the managers have caught salespeople cheating on an expense report, 50% have caught salespeople working a second job on company time, 22% have caught salespeople listing a “bars” as a “restaurants” on an expense report, and 19% have caught salespeople giving a kickback to a customer. What is the estimated upper limit for the proportion of managers who caught salespeople working a second job on company time with a 96% confidence?

Solutions

Expert Solution

sample size          n= 200
sample proportion p̂ =x/n= 0.5000
std error se= √(p*(1-p)/n) = 0.0354
for 96 % CI value of z= 2.054
margin of error E=z*std error   = 0.0726
lower bound=p̂ -E                       = 0.4274
Upper bound=p̂ +E                     = 0.5726

from above:

upper limit for the proportion of managers who caught salespeople working a second job on company time with a 96% confidence =0.5726  

(please try 0.572 if z is required to 2 decimals)


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