(Use this problem for questions 21-25.) An automobile insurance company Call Center historically has answered phone calls from customers reporting accidents, on average, in 25 seconds. The company recently has installed a new call management system and wants to know if the answer time has changed. Over a two month period, it randomly samples 1,000 calls into the Call Center. The mean answer time of the sample is 22.75 seconds with a standard deviation of 10 seconds. (Each question here worth one point.) 21. Which of the following is the best statement of the NULL HYPOTHESIS for this problem? a. The Call Center answers its calls within 25 seconds on average. b. The Call Center answers its calls within 22.75 seconds on average. c. The Call Center does not answer its calls within 25 seconds on average. d. The Call Center does not answer its calls within 22.75 seconds on average. Which of the following is the best statement of the ALTERNATIVE HYPOTHESIS for this problem? a. The Call Center answers its calls within 25 seconds on average. b. The Call Center answers its calls within 22.75 seconds on average. c. The Call Center does not answer its calls within 25 seconds on average. d. The Call Center does not answer its calls within 22.75 seconds on average. 23. With 95% confidence, what can the insurance company conclude from the sample? a. The Call Center average answering time is unchanged. b. There is insufficient evidence to conclude the Call Center average answering time has changed. c. The Call Center average answering time has changed. 24. With 99% confidence, what can the insurance company conclude from the sample? a. The Call Center average answering time is unchanged. b. There is insufficient evidence to conclude the Call Center average answering time has changed. c. The Call Center average answering time has changed. 1. If the insurance company had taken 10,000 random sample calls, instead of 1,000, which of the following is true? a. It may accept the ALTERNATIVE HYPOTHESIS at both the 95% and 99% confidence levels. b. There is insufficient evidence to reject the NULL HYPOTHESIS at both the 95% and 99% confidence levels