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A bank manager wanted to double-check her claim that recent process improvements have reduced customer wait times to an average of 3 minutes, with a standard deviation of 08 minutes. To test this, she randomly sampled 25 customers and recorded their wait times. The average wait time of the customers in the sample was 3.4 minutes. Assuming the claim about wait time is true, what is the probability that a random sample of n=25 customers would have a sample mean as large as or greater than 3.4 minutes? What should the manager conclude about her claim? It is a sample MEAN question based on the wording, so chapeter 7. What do we know? Pop mean origianal 3.00 stand dev 0.08 sample size 25 sample mean 3.40 Looking for = to > 3.4 minutes, so far right of a graph Standard error= stand dev/sqroot of sample size 0.016 Z score=(mean of sample-mean of population)/standard error 25 Find probably = norm.s.dist(Z score, TRUE) Since looking for left side=1-p 0