A company that translates books between various languages is currently testing a computer-based translation service. The founder of the company expects the computer program to make some errors, but then so do human translators. The computer error rate is supposed to be an average of 2 per 400 words of translation. Suppose the company founder randomly selects a 1.600-word passage. Assume that the Poisson distribution applies and that the computer error rate is actually 2 errors per 400 words. Complete parts a through d. a. Determine the probability that no errors will be found. The probability is 0.0003 . (Round to four decimal places as needed ) b. Calculate the probability that more than 16 errors will be found. The probability is .0037 . (Round to four decimal places as needed ) c. Find the probability that fewer than & errors will be found. The probability is 0.4530 . (Round to four decimal places as needed.) d. If 17 errors are found in the 1,600-word passage, what would you conclude about the computer company's claim? Why? The claim is probably because there would be a very probability of getting at least 17 errors in a 1.600-word passage