As an example of a situation in which several different statistics could reasonably be used to calculate a point estimate, consider a population of N invoices. Associated with each invoice is its "book value," the recorded amount of that invoice. Let T denote the total book value, a known amount. Some of these book values are erroneous. An audit will be carried out by randomly selecting n invoices and determining the audited (correct) value for each one. Suppose that the sample gives the following results (in dollars). Let Book value Audited value Error Invoice 1 2 3 4 5 279 696 515 221 114 279 531 515 221 175 0 165 0 0 -61 Y = sample mean book value X = sample mean audited value D sample mean error
As an example of a situation in which several different statistics could reasonably be used to calculate a point estimate, consider a population of N invoices. Associated with each invoice is its "book value," the recorded amount of that invoice. Let T denote the total book value, a known amount. Some of these book values are erroneous. An audit will be carried out by randomly selecting n invoices and determining the audited (correct) value for each one. Suppose that the sample gives the following results (in dollars). Let Book value Audited value Error Invoice 1 2 3 4 5 279 696 515 221 114 279 531 515 221 175 0 165 0 0 -61 Y = sample mean book value X = sample mean audited value D sample mean error
MATLAB: An Introduction with Applications
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Author:Amos Gilat
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![As an example of a situation in which several different statistics could reasonably be used to calculate a point estimate, consider a
population of W invoices. Associated with each invoice is its "book value," the recorded amount of that invoice. Let T denote the
total book value, a known amount. Some of these book values are erroneous. An audit will be carried out by randomly selecting n
invoices and determining the audited (correct) value for each one. Suppose that the sample gives the following results (in dollars).
Let
● NX
X +
N
OX/N
Book value
Audited value
Y = sample mean book value
X = sample mean audited value
D = sample mean error
Error
Propose a statistic for estimating the total audited (i.e., correct) value involving just N and X.
N
X
1-T-X/
Y
OT+X/Y
Propose a statistic for estimating the total audited (i.e., correct) value involving T, N, and D.
OT+ND
OT-ND
OT.N/D
TND
Invoice
1
2
3
4 5
279 696 515 221 114
279 531 515 221 175
0 165 0 0 -61
Propose a statistic for estimating the total audited (i.e., correct) value involving T and X / Y.
OT-X/Y
OT-X/Y
If N = 5000 and T = 1,761,200, calculate the corresponding point estimates. (Round your answers to the nearest whole number.)
based on just N and X $
based on T, N, and D
based on T and X/Y
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Transcribed Image Text:As an example of a situation in which several different statistics could reasonably be used to calculate a point estimate, consider a
population of W invoices. Associated with each invoice is its "book value," the recorded amount of that invoice. Let T denote the
total book value, a known amount. Some of these book values are erroneous. An audit will be carried out by randomly selecting n
invoices and determining the audited (correct) value for each one. Suppose that the sample gives the following results (in dollars).
Let
● NX
X +
N
OX/N
Book value
Audited value
Y = sample mean book value
X = sample mean audited value
D = sample mean error
Error
Propose a statistic for estimating the total audited (i.e., correct) value involving just N and X.
N
X
1-T-X/
Y
OT+X/Y
Propose a statistic for estimating the total audited (i.e., correct) value involving T, N, and D.
OT+ND
OT-ND
OT.N/D
TND
Invoice
1
2
3
4 5
279 696 515 221 114
279 531 515 221 175
0 165 0 0 -61
Propose a statistic for estimating the total audited (i.e., correct) value involving T and X / Y.
OT-X/Y
OT-X/Y
If N = 5000 and T = 1,761,200, calculate the corresponding point estimates. (Round your answers to the nearest whole number.)
based on just N and X $
based on T, N, and D
based on T and X/Y
Need Help?
$
$
Read It
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