Question

. True or False? Write your response next to the statements below. A) Sam computed a 90% confidence interval for µ from a specific random sample of size n. He claims that at the 90% confidence level, his confidence interval contains µ. Is his claim true or false? B) Sam computed a 95% confidence interval for µ from a specific random sample. His confidence interval was 10.1 < µ < 12.2. He claims that the probability that µ is in this interval is 0.95. Is his claim true or false? C) If we fail to reject (i.E., "accept") the null hypothesis, this means that we have proved it to be true beyond all doubt. Is this true or false?

Answer 1

Answer:

A) True , B) True , C) False

Step-by-step explanation:

A) True : Confidence Interval is the interval range around sample statistic, which is certain by extent of confidence level, to consist the actual population parameter.

B) True : Confidence Interval is the interval range around sample statistic, which is certain by extent of confidence level, to consist the actual population parameter.

C) False : Null Hypothesis can be accepted, despite of being actually false. This is called Type 2 Error.