An auditor for a government agency was assigned the task of evaluating reimbursement for office visits to physicians paid by Medicare. The audit was conducted on a sample of 75 reimbursements, with the following results: • In 12 of the office visits, there was an incorrect amount of reimbursement. • The amounts of reimbursement was X ¯ = $93 .70, S = $34 .55 . a. At the 0.05 level of significance, is there evidence that the population mean reimbursement was less than $ 100 ? b. At the 0.05 level of significance, is there evidence that the proportion of incorrect reimbursements was greater than 0.10? c. Discuss the underlying assumptions of the test used in (a). d. What is your answer to (a) If the sample mean equals $ 90 ? e. What is your answer to (b) if 15 office visits had incorrect reimbursements?
An auditor for a government agency was assigned the task of evaluating reimbursement for office visits to physicians paid by Medicare. The audit was conducted on a sample of 75 reimbursements, with the following results: • In 12 of the office visits, there was an incorrect amount of reimbursement. • The amounts of reimbursement was X ¯ = $93 .70, S = $34 .55 . a. At the 0.05 level of significance, is there evidence that the population mean reimbursement was less than $ 100 ? b. At the 0.05 level of significance, is there evidence that the proportion of incorrect reimbursements was greater than 0.10? c. Discuss the underlying assumptions of the test used in (a). d. What is your answer to (a) If the sample mean equals $ 90 ? e. What is your answer to (b) if 15 office visits had incorrect reimbursements?
Solution Summary: The author concludes that the population mean reimbursement was less than 100 at 0.05 level of significance.
An auditor for a government agency was assigned the task of evaluating reimbursement for office visits to physicians paid by Medicare. The audit was conducted on a sample of 75 reimbursements, with the following results:
•
In 12 of the office visits, there was an incorrect amount of reimbursement.
•
The amounts of reimbursement was
X
¯
=
$93
.70,
S
=
$34
.55
.
a. At the 0.05 level of significance, is there evidence that the population mean reimbursement was less than
$
100
?
b. At the 0.05 level of significance, is there evidence that the proportion of incorrect reimbursements was greater than 0.10?
c. Discuss the underlying assumptions of the test used in (a).
d. What is your answer to (a) If the sample mean equals
$
90
?
e. What is your answer to (b) if 15 office visits had incorrect reimbursements?
Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.
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