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Benford’s Law. According to Benford’s law,
Chapter 11, Problem 22 BSC(choose chapter or problem)
Problem 22BSC
Benford’s Law. 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. In Exercise, test for goodness-offit 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% |
Author’s Check Amounts Exercise 1 lists the observed frequencies of leading digits from amounts on checks from seven suspect companies. Here are the observed frequencies of the leading digits from the amounts on checks written by the author: 68, 40, 18, 19, 8, 20, 6, 9, 12. (Those observed frequencies correspond to the leading digits of 1, 2, 3, 4, 5, 6, 7, 8, and 9, respectively.) Using a 0.05 significance level, test the claim that these leading digits are from a population of leading digits that conform to Benford’s law. Do the author’s check amounts appear to be legitimate?
Exercise 1
Detecting Fraud 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, 15, 0, 76, 479, 183, 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 0.01 significance level to test for goodness-of-fit with Benford’s law. Does it appear that the checks are the result of fraud?
Questions & Answers
QUESTION:
Problem 22BSC
Benford’s Law. 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. In Exercise, test for goodness-offit 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% |
Author’s Check Amounts Exercise 1 lists the observed frequencies of leading digits from amounts on checks from seven suspect companies. Here are the observed frequencies of the leading digits from the amounts on checks written by the author: 68, 40, 18, 19, 8, 20, 6, 9, 12. (Those observed frequencies correspond to the leading digits of 1, 2, 3, 4, 5, 6, 7, 8, and 9, respectively.) Using a 0.05 significance level, test the claim that these leading digits are from a population of leading digits that conform to Benford’s law. Do the author’s check amounts appear to be legitimate?
Exercise 1
Detecting Fraud 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, 15, 0, 76, 479, 183, 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 0.01 significance level to test for goodness-of-fit with Benford’s law. Does it appear that the checks are the result of fraud?
ANSWER:
Solution 22BSC
Let us stae the null hypothesis for Godness -of-Fit test as,
and and and and
and and and and
one of the proportions is unequal to the given claimed value.
