It is a striking fact that the first digits of numbers in
legitimate records often follow...
It is a striking fact that the first digits of numbers in
legitimate records often follow a distribution known as
Benford's Law, shown below.
First digit
1
2
3
4
5
6
7
8
9
Proportion
0.285
0.186
0.126
0.084
0.069
0.067
0.034
0.039
0.110
Fake records usually have fewer first digits 1, 2, and 3. What
is the approximate probability, if Benford's Law holds, that among
1153 randomly chosen invoices there are no more than 670 in amounts
with...
Fraudulent numbers in tax returns, payment records, invoices,
etc. often display patterns that aren’t present in...
Fraudulent numbers in tax returns, payment records, invoices,
etc. often display patterns that aren’t present in legitimate
records. It is a striking fact that the first digits of numbers in
legitimate records often have probabilities that follow the model
(known as Benford’s Law) partially shown in the following
probability distribution, where the random variable x is the first
digit of the number. x 1 2 3 4 5 6 7 8 9 P(x) 0.301 0.176 0.125 ?
0.079 0.067 0.058...
Faked numbers in tax returns, invoices, or expense account
claims often display patterns that aren’t present...
Faked numbers in tax returns, invoices, or expense account
claims often display patterns that aren’t present in legitimate
records. Some patterns, like too many round numbers, are obvious
and easily avoided by a clever crook. Others are more subtle. It is
a striking fact that the first digits of numbers in legitimate
records often follow a model known as Benford’s law. Call the first
digit of a randomly chosen record X for short. Benford’s law gives
this probability model for...
According to Benford's law, the probability that the first digit
of the amount of a randomly...
According to Benford's law, the probability that the first digit
of the amount of a randomly chosen invoice is a 1 or a 2 is 0.477.
You examine 79 invoices from a vendor and find that 26 have first
digits 1 or 2. If Benford's law holds, the count of 1s and 2s will
have the binomial distribution with n = 79 and p
= 0.477. Too few 1s and 2s suggests fraud. What is the approximate
probability of 26...
According to Benford's Law, a variety of different data sets
include numbers with leading (first) digits...
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...
You might think that if you looked at the first digit in
randomly selected numbers that...
You might think that if you looked at the first digit in
randomly selected numbers that the distribution would be uniform.
Actually, it is not! Simon Newcomb and later Frank Benford both
discovered that the digits occur according to the following
distribution: (digit, probability)
(1,0.301),(2,0.176),(3,0.125),(4,0.097),(5,0.079),(6,0.067),(7,0.058),(8,0.051),(9,0.046)(1,0.301),(2,0.176),(3,0.125),(4,0.097),(5,0.079),(6,0.067),(7,0.058),(8,0.051),(9,0.046)
The IRS currently uses Benford's Law to detect fraudulent tax data.
Suppose you work for the IRS and are investigating an individual
suspected of embezzling. The first digit of 201 checks to a
supposed company...
ou might think that if you looked at the first digit in randomly
selected numbers that...
ou might think that if you looked at the first digit in randomly
selected numbers that the distribution would be uniform. Actually,
it is not! Simon Newcomb and later Frank Benford both discovered
that the digits occur according to the following distribution:
(digit, probability)
(1,0.301),(2,0.176),(3,0.125),(4,0.097),(5,0.079),(6,0.067),(7,0.058),(8,0.051),(9,0.046)(1,0.301),(2,0.176),(3,0.125),(4,0.097),(5,0.079),(6,0.067),(7,0.058),(8,0.051),(9,0.046)
The IRS currently uses Benford's Law to detect fraudulent tax data.
Suppose you work for the IRS and are investigating an individual
suspected of embezzling. The first digit of 166 checks to a
supposed company...
You might think that if you looked at the first digit in
randomly selected numbers that...
You might think that if you looked at the first digit in
randomly selected numbers that the distribution would be uniform.
Actually, it is not! Simon Newcomb and later Frank Benford both
discovered that the digits occur according to the following
distribution: (digit, probability)
(1,0.301),(2,0.176),(3,0.125),(4,0.097),(5,0.079),(6,0.067),(7,0.058),(8,0.051),(9,0.046)(1,0.301),(2,0.176),(3,0.125),(4,0.097),(5,0.079),(6,0.067),(7,0.058),(8,0.051),(9,0.046)
The IRS currently uses Benford's Law to detect fraudulent
tax data. Suppose you work for the IRS and are investigating an
individual suspected of embezzling. The first digit of 145 checks
to a supposed company...