Benford's law states that the probability distribution of the first digits of many items (e.g. populations and expenses) is not uniform, but has the probabilities shown in this table. Business expenses tend to follow Benford's Law, because there are generally more small expenses than large expenses. Perform a "Goodness of Fit" Chi-Squared hypothesis test (a = 0.05) to see if these values are consistent with Benford's Law. If they are not consistent, it there might be embezzelment. Complete this table. The sum of the observed frequencies is 137 Obranu Expected
Benford's law states that the probability distribution of the first digits of many items (e.g. populations and expenses) is not uniform, but has the probabilities shown in this table. Business expenses tend to follow Benford's Law, because there are generally more small expenses than large expenses. Perform a "Goodness of Fit" Chi-Squared hypothesis test (a = 0.05) to see if these values are consistent with Benford's Law. If they are not consistent, it there might be embezzelment. Complete this table. The sum of the observed frequencies is 137 Obranu Expected
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![**Understanding Benford's Law in Business Expenses**
Benford's law states that the probability distribution of the first digits of many items (e.g., populations and expenses) is not uniform, but has the probabilities shown in this table.
Businesses tend to follow Benford's Law because there are generally more small expenses than large expenses.
Let's perform a "Goodness of Fit" Chi-Squared hypothesis test (α = 0.05) to see if these values are consistent with Benford's Law. If they are not consistent, there might be embezzlement.
Complete the table. The sum of the observed frequencies is 137.
| First Digit (X) | Observed Frequency (Counts) | Benford’s Law P(X) | Expected Frequency (Counts) |
|-----------------|------------------------------|---------------------|-----------------------------|
| 1 | 39 | .301 | |
| 2 | 29 | .176 | |
| 3 | 20 | .125 | |
| 4 | 12 | .097 | |
| 5 | 7 | .079 | |
| 6 | 11 | .067 | |
| 7 | 7 | .058 | |
| 8 | 6 | .051 | |
| 9 | 6 | .046 | |
Report all answers accurate to three decimal places.
**Steps to Complete the Table:**
1. Calculate the Expected Frequency (Counts) for each digit by multiplying the total observed frequencies by the probability given by Benford’s Law.
- For digit 1: Expected Frequency = 137 * 0.301 = 41.237
- For digit 2: Expected Frequency = 137 * 0.176 = 24.112
- Continue similarly for all digits.
2. Once the Expected Frequencies are filled, you can proceed to compute the Chi-square test-statistic (χ²).
**Chi-Square Test Computation:**
1. Calculate the Chi-square test-statistic (χ²) using the formula:
\[
\chi^2 = \sum \frac{(Observed -](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F8e9d300d-1c07-4ae7-bdcf-7bcca0d57eba%2F1251f651-98b9-4bc3-9f67-2eed06c58a9f%2F4wixbdl_processed.jpeg&w=3840&q=75)
Transcribed Image Text:**Understanding Benford's Law in Business Expenses**
Benford's law states that the probability distribution of the first digits of many items (e.g., populations and expenses) is not uniform, but has the probabilities shown in this table.
Businesses tend to follow Benford's Law because there are generally more small expenses than large expenses.
Let's perform a "Goodness of Fit" Chi-Squared hypothesis test (α = 0.05) to see if these values are consistent with Benford's Law. If they are not consistent, there might be embezzlement.
Complete the table. The sum of the observed frequencies is 137.
| First Digit (X) | Observed Frequency (Counts) | Benford’s Law P(X) | Expected Frequency (Counts) |
|-----------------|------------------------------|---------------------|-----------------------------|
| 1 | 39 | .301 | |
| 2 | 29 | .176 | |
| 3 | 20 | .125 | |
| 4 | 12 | .097 | |
| 5 | 7 | .079 | |
| 6 | 11 | .067 | |
| 7 | 7 | .058 | |
| 8 | 6 | .051 | |
| 9 | 6 | .046 | |
Report all answers accurate to three decimal places.
**Steps to Complete the Table:**
1. Calculate the Expected Frequency (Counts) for each digit by multiplying the total observed frequencies by the probability given by Benford’s Law.
- For digit 1: Expected Frequency = 137 * 0.301 = 41.237
- For digit 2: Expected Frequency = 137 * 0.176 = 24.112
- Continue similarly for all digits.
2. Once the Expected Frequencies are filled, you can proceed to compute the Chi-square test-statistic (χ²).
**Chi-Square Test Computation:**
1. Calculate the Chi-square test-statistic (χ²) using the formula:
\[
\chi^2 = \sum \frac{(Observed -
Expert Solution
![](/static/compass_v2/shared-icons/check-mark.png)
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 5 steps with 9 images
![Blurred answer](/static/compass_v2/solution-images/blurred-answer.jpg)
Recommended textbooks for you
![MATLAB: An Introduction with Applications](https://www.bartleby.com/isbn_cover_images/9781119256830/9781119256830_smallCoverImage.gif)
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
![Probability and Statistics for Engineering and th…](https://www.bartleby.com/isbn_cover_images/9781305251809/9781305251809_smallCoverImage.gif)
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
![Statistics for The Behavioral Sciences (MindTap C…](https://www.bartleby.com/isbn_cover_images/9781305504912/9781305504912_smallCoverImage.gif)
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
![MATLAB: An Introduction with Applications](https://www.bartleby.com/isbn_cover_images/9781119256830/9781119256830_smallCoverImage.gif)
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
![Probability and Statistics for Engineering and th…](https://www.bartleby.com/isbn_cover_images/9781305251809/9781305251809_smallCoverImage.gif)
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
![Statistics for The Behavioral Sciences (MindTap C…](https://www.bartleby.com/isbn_cover_images/9781305504912/9781305504912_smallCoverImage.gif)
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
![Elementary Statistics: Picturing the World (7th E…](https://www.bartleby.com/isbn_cover_images/9780134683416/9780134683416_smallCoverImage.gif)
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
![The Basic Practice of Statistics](https://www.bartleby.com/isbn_cover_images/9781319042578/9781319042578_smallCoverImage.gif)
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
![Introduction to the Practice of Statistics](https://www.bartleby.com/isbn_cover_images/9781319013387/9781319013387_smallCoverImage.gif)
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman