Question 7 Your friend likes to show off to his coworkers using statistical terminology, but he makes errors so much that you often have to correct him. He just completed the following hypothesis test: Ho:p=100:HA:,u:t100 x=105,s= 10.n =40 p-value = 0.0016 He claims the denition of this p-value is "the probability of obtaining a sample mean of 105 from a random sample ofn = 40 when the true population mean is assumed to be 100." Which of the following is true? (You may assume his calculations are correct, only focus on his interpretation.) Your Answer Score Explanation Your friend is wrong, the statement should be revised as \"the probability of obtaining a sample mean of 105 or more extreme from a random sample (31.00 of n = 40 when the true population mean is assumed to be 100." 0 Your friend is wrong, the sample size is irrelevant. 1' Your friend is wrong, the statement should be revised as \"the probability of 1'; obtaining a sample mean of 105 from a random sample of n = 40 when the c true population mean is assumed to be different than 105.\" t Your friend is right. 1.00 I Total 1.00 Question Explanation This question refers to the following learning objective(s): Dene a p-value as the conditional probability of obtaining a sample statistic at least as extreme as the one observed given that the null hypothesis is true. o-value = Plobserved or more extreme sample statistic | Ho true)