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 3 4 5 6 7 8 9 Sample Frequency 88 46 30 25 22 18 13 17 16   State the null and alternate hypotheses. H0: The distributions are different. H1: The distributions are the same.H0: The distributions are the same. H1: The distributions are the same.    H0: The distributions are the same. H1: The distributions are different.H0: The distributions are different. H1: The distributions are different. (b) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to at least three decimal places. Round the test statistic to three decimal places.) What are the degrees of freedom? (c) Estimate the P-value of the sample test statistic. P-value > 0.1000 .050 < P-value < 0.100     0.025 < P-value < 0.0500 .010 < P-value < 0.0250 .005 < P-value < 0.010 P-value < 0.005

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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 3 4 5 6 7 8 9
Sample Frequency 88 46 30 25 22 18 13 17 16

 

State the null and alternate hypotheses.

H0: The distributions are different.
H1: The distributions are the same.H0: The distributions are the same.
H1: The distributions are the same.    H0: The distributions are the same.
H1: The distributions are different.H0: The distributions are different.
H1: The distributions are different.


(b) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to at least three decimal places. Round the test statistic to three decimal places.)

What are the degrees of freedom?


(c) Estimate the P-value of the sample test statistic.

P-value > 0.1000
.050 < P-value < 0.100    
0.025 < P-value < 0.0500
.010 < P-value < 0.0250
.005 < P-value < 0.010
P-value < 0.005
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