According to​ Benford's Law, a variety of different data sets include numbers with leading​ (first) digits that follow the distribution shown in the table below. Test for​goodness-of-fit with​ Benford's Law.   Leading Digit 1 2 3 4 5 6 7 8 9 ​Benford's law: distribution of leading digits ​30.1% ​17.6% ​12.5% ​9.7% ​7.9% ​6.7% ​5.8% ​5.1% ​4.6%   When working for the Brooklyn District​ Attorney, investigator Robert Burton analyzed the leading digits of the amounts from 784 checks issued by seven suspect companies. The frequencies were found to be​ 0, 12,​ 0, 73,​ 482, 186,​ 8, 23, and​ 0, and those digits correspond to the leading digits of​ 1, 2,​ 3, 4,​ 5, 6,​ 7, 8, and​ 9, respectively. If the observed frequencies are substantially different from the frequencies expected with​ Benford's Law, the check amounts appear to result from fraud. Use a 0.05 significance level to test for​ goodness-of-fit with​ Benford's Law. What is the value of the test​ statistic? Does it appear that the checks are the result of​ fraud?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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According to​ Benford's Law, a variety of different data sets include numbers with leading​ (first) digits that follow the distribution shown in the table below. Test for​goodness-of-fit with​ Benford's Law.
 
Leading Digit
1
2
3
4
5
6
7
8
9
​Benford's law: distribution of leading digits
​30.1%
​17.6%
​12.5%
​9.7%
​7.9%
​6.7%
​5.8%
​5.1%
​4.6%
 
When working for the Brooklyn District​ Attorney, investigator Robert Burton analyzed the leading digits of the amounts from 784 checks issued by seven suspect companies. The frequencies were found to be​ 0, 12,​ 0, 73,​ 482, 186,​ 8, 23, and​ 0, and those digits correspond to the leading digits of​ 1, 2,​ 3, 4,​ 5, 6,​ 7, 8, and​ 9, respectively. If the observed frequencies are substantially different from the frequencies expected with​ Benford's Law, the check amounts appear to result from fraud. Use a 0.05 significance level to test for​ goodness-of-fit with​ Benford's Law. What is the value of the test​ statistic? Does it appear that the checks are the result of​ fraud?
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