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12. In hypothesis testing using Excel, the probability of getting a value of the sample test statistic that is at least as extreme as the one found from the sample data, assuming that the null hypothesis is true, is called a. N-value b. O-value C. P-value d. O-value e. R-value 13. Type II error is a. the mistake of rejecting the null hypothesis when it is false. b. the mistake of failing to reject the null hypothesis when it is false. C. the mistake of rejecting the null hypothesis when it is true. d. the mistake of failing to reject the null hypothesis when it is true. e. None of the above. 14. Type I error is a. the mistake of rejecting the null hypothesis when it is false. b. the mistake of failing to reject the null hypothesis when it is false. C. the mistake of rejecting the null hypothesis when it is true. d. the mistake of failing to reject the null hypothesis when it is true. e. None of the above. 15. An e-business manager wants to test the claim that the mean exposure to a certain type of internet ads exceeds 1000 viewers per day. Randomly selecting 20 days she calculated the sample mean and standard deviation. As far as the population standard deviation is not available, but the population is approximately normally distributed she has to use a a. normal (z) distribution. b. Student (1) distribution C. F distribution. d. chi-square ( )distribution, e. binomial distribution