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. Forexample, the following distribution represents the first digits in 232 allegedly fraudulent checks written to a bogus company by an employee attempting to embezzle funds from his employer.
a.) Using the level of significance alpha 0.01, test whether the first digits in the allegedly fraudulent checks obeyBenford's Law. What is the null hypothesis?
b.) What is the alternative hypothesis?
c.) What is the test statistic?
d.) What is the p-value?
e.) Using the P-value approach, compare the P-value with the given alpha = 0.10, level of significance. Based on theresults, do the first digits obey the Benford's Law?
f.) (b) Based on the results of part (a),could one think that the employee is guilty of embezzlement?
Digit Probability Frequency
1 0.301 42
2 0.176 25
3 0.125 45
4 0.097 26
5 0.079 24
6 0.067 36
7 0.058 9
8 0.051 16
9 0.046 9
(a) The data follow Benford's Law
(b) The data does not follows Benford's Law
(c) 58.48
(d) 0.0000
(e) Since the p-value (0.0000) is less than the significance level (0.10), we can reject the null hypothesis.
(f) Therefore, we can conclude that the employee is guilty of embezzlement.
observed | expected | O - E | (O - E)² / E |
42 | 69.832 | -27.832 | 11.093 |
25 | 40.832 | -15.832 | 6.139 |
45 | 29.000 | 16.000 | 8.828 |
26 | 22.504 | 3.496 | 0.543 |
24 | 18.328 | 5.672 | 1.755 |
36 | 15.544 | 20.456 | 26.920 |
9 | 13.456 | -4.456 | 1.476 |
16 | 11.832 | 4.168 | 1.468 |
9 | 10.672 | -1.672 | 0.262 |
232 | 232.000 | 0.000 | 58.483 |
58.48 | chi-square | ||
8 | df | ||
9.24E-10 | p-value |
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