Benford's Law claims numbers selected 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 the number from a very large data file, the probability of getting number with "1" as the leading digit is regarding 0.301. Assume you're an auditor for very large corporation. The revenue report involves millions of numbers in large computer file. Let us say you took random sample of n = 303 numerical entries from file and r = 75 of the entries had a first nonzero digit of 1. Let p represent the population proportion of all numbers in corporate file that have first nonzero digit of 1. Test the claim that p is less than 0.301 by using ? = 0.1. What does the area of the sampling distribution corresponding to your P-value look like?
a. The area not comprising right tail of the standard normal curve.
b. The area not comprising left tail of the standard normal curve.
c. The area in the left tail of standard normal curve.
d. The area in the left tail and right tail of the standard normal curve.
e. The area in the right tail of the standard normal curve.