An auditor has obtained the following data by selecting a random sample from an inventory population:Number Audited Carrying of Items Value AmountSample 200 P220,000 P200,000Population 5,000 ? 5,200,000Required:a. The estimate of the population peso value using mean-per-unit sampling isb. The estimate of the population peso value using difference estimation sampling isc. The estimate of the population peso value using ratio estimation is An auditor has obtained the following data by selecting a random sample from an inventory population:AuditedCarryingValueAmountP220,000?SamplePopulationRequired:Numberof Items2005,000P200,0005,200,0001. The estimate of the population peso value using mean-per-unit sampling is2. The estimate of the population peso value using difference estimation sampling is3. The estimate of the population peso value using ratio estimation is

Answered: An auditor has obtained the following…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

An auditor has obtained the following data by selecting a random sample from an inventory population:
Number Audited Carrying
of Items Value Amount
Sample 200 P220,000 P200,000
Population 5,000 ? 5,200,000

Required:
a. The estimate of the population peso value using mean-per-unit sampling is

b. The estimate of the population peso value using difference estimation sampling is

c. The estimate of the population peso value using ratio estimation is

An auditor has obtained the following data by selecting a random sample from an inventory population:
Audited
Carrying
Value
Amount
P220,000
?
Sample
Population
Required:
Number
of Items
200
5,000
P200,000
5,200,000
1. The estimate of the population peso value using mean-per-unit sampling is
2. The estimate of the population peso value using difference estimation sampling is
3. The estimate of the population peso value using ratio estimation is

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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