An investigator analyzed the leading digits from 783 checks issued by seven suspect companies. The frequencies were found to be 217, 154, 88, 95, 56, 62, 42, 44, and 25, 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 shown below, the check amounts appear to result from fraud. Use a 0.05 significance level to test for goodness-of-fit with Benford's law. Does it appear that the checks are the result of fraud? Leading Digit Actual Frequency Benford's Law: Distribution of Leading Digits 4 217 30.1% 154 17 6% 88 12 5% 95 9.7% 56 7.9% 62 6.7% 42 5.8% 44 5.1% 25 4.6% Determine the null and alternative hypotheses H, Calculate the test statistic, . = (Round to three decimal places as needed.) Calculate the P.value P-value = (Round to four decimal places as needed.) State the conclusion. V Ho There V sufficient evidence to warrant rejection of the claim that the leading digits are from a population with a distribution that conforms to Benford's law. It that the checks are the result of fraud.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
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Chapter10: Statistics
Section: Chapter Questions
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An investigator analyzed the leading digits from 783 checks issued by seven suspect companies. The frequencies were found to be 217, 154, 88, 95, 56, 62, 42, 44, and 25, 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 shown below, the check amounts appear to result from fraud. Use a 0.05 significance level to test for goodness-of-fit with Benford's law. Does
it appear that the checks are the result of fraud?
Leading Digit
Actual Frequency
Benford's Law: Distribution of Leading Digits
3
4
6
7
8
9
217
154
88
95
56
62
6.7%
42
44
25
30.1%
17.6%
12.5%
9.7%
7.9%
5.8%
5.1%
4.6%
Determine the null and alternative hypotheses.
Họ
H,:
Calculate the test statistic, .
(Round to three decimal places as needed.)
Calculate the P-value.
P-value =
(Round to four decimal places as needed.)
State the conclusion.
Ho. There
sufficient evidence to warrant rejection of the claim that the leading digits are from a population with a distribution that conforms to Benford's law. It
v that the checks are the result of fraud.
Transcribed Image Text:An investigator analyzed the leading digits from 783 checks issued by seven suspect companies. The frequencies were found to be 217, 154, 88, 95, 56, 62, 42, 44, and 25, 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 shown below, the check amounts appear to result from fraud. Use a 0.05 significance level to test for goodness-of-fit with Benford's law. Does it appear that the checks are the result of fraud? Leading Digit Actual Frequency Benford's Law: Distribution of Leading Digits 3 4 6 7 8 9 217 154 88 95 56 62 6.7% 42 44 25 30.1% 17.6% 12.5% 9.7% 7.9% 5.8% 5.1% 4.6% Determine the null and alternative hypotheses. Họ H,: Calculate the test statistic, . (Round to three decimal places as needed.) Calculate the P-value. P-value = (Round to four decimal places as needed.) State the conclusion. Ho. There sufficient evidence to warrant rejection of the claim that the leading digits are from a population with a distribution that conforms to Benford's law. It v that the checks are the result of fraud.
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