Question

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 first digit 1, 2, or 3? (Round your answer to four decimal places.)

Homework Answers

Answer #1

P(X = 1, 2 or 3) = 0.285 + 0.186 + 0.126 = 0.597

The number of invoices with first digits 1, 2, or 3 out of the total 1153 randomly chosen invoices is modelled here as:

This is approximated to a normal distribution as:

The probability here is computed as:

Applying the continuity correction, we get:

P( X < 670.5 )

Converting it to a standard normal variable, we get:

Getting it from the standard normal tables, we get:

Therefore 0.1420 is the required probability here.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
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 0.28 0.152 0.129 0.088 0.05 0.07 0.042 0.035 0.154 Fake records usually have fewer first digits 1, 2, and 3. What is the approximate probability, if Benford's Law holds, that among 1189 randomly chosen invoices there are no more than 688 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...
Benford's Law states that the first nonzero digits of numbers drawn at random from a large...
Benford's Law states that the first nonzero digits of numbers drawn at random from a large complex data file have the following probability distribution.† First Nonzero Digit 1 2 3 4 5 6 7 8 9 Probability 0.301 0.176 0.125 0.097 0.079 0.067 0.058 0.051 0.046 Suppose that n = 275 numerical entries were drawn at random from a large accounting file of a major corporation. The first nonzero digits were recorded for the sample. First Nonzero Digit 1 2...
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...
The first significant digit in any number must be​ 1, 2,​ 3, 4,​ 5, 6,​ 7,...
The first significant digit in any number must be​ 1, 2,​ 3, 4,​ 5, 6,​ 7, 8, or 9. It was discovered that first digits do not occur with equal frequency. Probabilities of occurrence to the first digit in a number are shown in the accompanying table. The probability distribution is now known as​ Benford's Law. For​ example, the following distribution represents the first digits in 219 allegedly fraudulent checks written to a bogus company by an employee attempting to...
The first significant digit in any number must be​ 1, 2,​ 3, 4,​5, 6,​ 7, 8,...
The first significant digit in any number must be​ 1, 2,​ 3, 4,​5, 6,​ 7, 8, or 9. It was discovered that first digits do not occur with equal frequency. Probabilities of occurrence to the first digit in a number are shown in the accompanying table. The probability distribution is now known as​ Benford's Law. For​example, the following distribution represents the first digits in 232 allegedly fraudulent checks written to a bogus company by an employee attempting to embezzle funds...
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...