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Name: Invoice errors in a billing system. In a study of invoice errors in a
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Description: Invoice errors in a billing system. In a study of invoice errors in a company’s new billing system, an auditor randomly sampled 90 invoices produced by the new system and recorded actual amount (A), invoice amount (I) and the difference (or “error”

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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Invoice errors in a billing system. In a study of invoice errors in a company’s new billing system, an auditor randomly sampled 90 invoices produced by the new system and recorded actual amount (A), invoice amount (I) and the difference (or “error”), x = (A – I). The results were a sample mean = $1 and standard deviation = $124 for the differences between the actual and invoice amounts. At the time that the sample was drawn, the new system had produced 1,500 invoices. Find an estimate for the true mean error per invoice of the new system. Interpret the results.

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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