Recall that Benford's Law claims that numbers chosen from very large data files tend to have "1" as the first nonzero digit disproportionately often. In fact, research has shown that if you randomly draw a number from a very large data file, the probability of getting a number with "1" as the leading digit is about 0.301. Now suppose you are an auditor for a very large corporation. The revenue report involves millions of numbers in a large computer file. Let us say you took a random sample of n- 215 numerical entries from the file and r- 49 of the entries had a first nonzero digit of 1. Let p represent the population proportion of all numbers in the corporate file that have a first nonzero digit of 1. (1) Test the claim that p is less than 0.301. Use a0.10 (a) What is the level of significance? State the null and alternate hypotheses. OHp-0.301; N,:p> 0.301 O HP-0.301; Hp<0.301 O Hai P<0.301; Hip-0.301 O H P-0.301; H,ip-0.301 (b) What sampling distribution will you use: O The Student's t. since ne >S and ng >S. O The standard normal, since ng S and ng>5 O The Student's t, since np < 5 and ng < s. . What is the value of the sample test statistic? (Round your answer to two decimal places.) (e) Find the Pvalue of the test statistic. (Round your answer to four decimal places.) Sketch the sampling distribution and show the area corresponding to the Pvalue. O-3 -2 -1 O-3 -2 -1 2 o-3 -2 -1 2 o-3 -2 (d) Based on your answers in parts (a) to (e), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level a? O At the a- 0.10 level, we reject the null hypothesis and conclude the data are statistically significant. O At the a-0.10 level, we reject the null hypothesis and conclude the data are not statistically significant. O At the a- 0.10 level, we fail to reject the null hypothesis and conclude the data are statistically significant.

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Recall that Benford's Law claims that numbers chosen from very large data files tend to have "1" as the first nonzero digit disproportionately often. In fact, research has shown that if you randomly draw a number from a very large data file, the probability of getting a number with "1" as the leading digit is about 0.301. Now suppose you are an auditor for a very large corporation. The revenue
report involves millions of numbers in a large computer file. Let us say you took a random sample of n = 215 numerical entries from the file and r= 49 of the entries had a first nonzero digit of 1. Let p represent the population proportion of all numbers in the corporate file that have a first nonzero digit of 1.
(i) Test the claim that p is less than 0.301. Use a = 0.10.
(a) What is the level of significance?
State the null and alternate hypotheses.
O Ho: p- 0.301; H,: p> 0.301
о нр- 0.3013 Н,: р < 0.301
О на р< 0.301; Н,: р- 0.301
о нар- 0.3013; н,: р-0.301
(b) What sampling distribution will you use?
O The Student's t, since np > 5 and ng > 5.
O The standard normal, since np < 5 and ng < 5.
O The standard normal, since np > 5 and ng > 5.
O The Student's t, since np < 5 and ng < 5.
What is the value of the sample test statistic? (Round your answer to two decimal places.)
(c) Find the P-value of the test statistic. (Round your answer to four decimal places.)
Sketch the sampling distribution and show the area corresponding to the P-value.
o-3
-2
-1
1
O-3
-2
-1
2
3
o-3
-2
-1
1
3
O-3
-2
-1
1
3
(d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level a?
O At the a = 0.10 level, we reject the null hypothesis and conclude the data are statistically significant.
O At the a = 0.10 level, we reject the null hypothesis and conclude the data are not statistically significant.
O At the a = 0.10 level, we fail to reject the null hypothesis and conclude the data are statistically significant.
O At the a = 0.10 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.
Transcribed Image Text:Recall that Benford's Law claims that numbers chosen from very large data files tend to have "1" as the first nonzero digit disproportionately often. In fact, research has shown that if you randomly draw a number from a very large data file, the probability of getting a number with "1" as the leading digit is about 0.301. Now suppose you are an auditor for a very large corporation. The revenue report involves millions of numbers in a large computer file. Let us say you took a random sample of n = 215 numerical entries from the file and r= 49 of the entries had a first nonzero digit of 1. Let p represent the population proportion of all numbers in the corporate file that have a first nonzero digit of 1. (i) Test the claim that p is less than 0.301. Use a = 0.10. (a) What is the level of significance? State the null and alternate hypotheses. O Ho: p- 0.301; H,: p> 0.301 о нр- 0.3013 Н,: р < 0.301 О на р< 0.301; Н,: р- 0.301 о нар- 0.3013; н,: р-0.301 (b) What sampling distribution will you use? O The Student's t, since np > 5 and ng > 5. O The standard normal, since np < 5 and ng < 5. O The standard normal, since np > 5 and ng > 5. O The Student's t, since np < 5 and ng < 5. What is the value of the sample test statistic? (Round your answer to two decimal places.) (c) Find the P-value of the test statistic. (Round your answer to four decimal places.) Sketch the sampling distribution and show the area corresponding to the P-value. o-3 -2 -1 1 O-3 -2 -1 2 3 o-3 -2 -1 1 3 O-3 -2 -1 1 3 (d) Based on your answers in parts (a) to (c), will you reject or fail to reject the null hypothesis? Are the data statistically significant at level a? O At the a = 0.10 level, we reject the null hypothesis and conclude the data are statistically significant. O At the a = 0.10 level, we reject the null hypothesis and conclude the data are not statistically significant. O At the a = 0.10 level, we fail to reject the null hypothesis and conclude the data are statistically significant. O At the a = 0.10 level, we fail to reject the null hypothesis and conclude the data are not statistically significant.
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