The life expectancy of a male during the course of the past 190 years in approximately Chief Life Span Chief Life Span 27,734 days, Use the table to the right to conduct a best using a = 0.10 to determine whether Justice (Daya] Justice the evidence suggests that chief justices live longer than the general population of males. A 27.143 37.261 Supgest a reason why the conclusion drawn may be flawed. B 30 912 G R 25 224 28 350 L E 37.227 M 30 569 31370 N 32160 27,cat I 32.522 32 178 State the appropriate null and alternative hypotheses O A Hyp= 27.734 venus Hip - 27,734 OB. Hop - 27,734 versus Hy: p # 27.734 O C. My p= 30,565 versus Hip > 30.565 O D. Hep = 30,545 vernon Hip 27,724 OF. Hy: p = 30,565 versus Hyp# 30.565 Use the P-waive approach at the a # 0.10 level of significance to test the hypotheses. P-wave= [(Found to Beoe doumel places as needed ) State the conclusion for the test. Choose the correct answer below. O) A. Do not reject the null hypothesis. There is sufficient evidence to conclude that the mons life span of males is longer than 30,545 days, Then, there is suficient evidence to indicate that chief justices live longer than the ponanal population of mates. O B. Do not reject the null hypothesis. There is not sufficient evidence to conclude that the mean life span of males is longer than 37.734 days, Thus, Pore is not sufficient evidence to hacale ful chef jusnces ines longer than the general population of makes.QUESTION 13 2 points Save Answer The following are reasons for studying randomised controlled experiments in an econometrics course, with the EXCEPTION of: O a. when experiments are actually conducted, their results can be very influential, so it is important to understand the limitations and threats to validity of actual experiments as well as their strength. O b. randomised controlled experiments in economics are common. O " external circumstances sometimes produce what appears to be randomisation. O d. at a conceptual level, the notion of an ideal randomised controlled experiment provides a benchmark against which to judge estimates of causal effects in practice.How does a natural experiment differ from a randomized one? O A. A natural experiment is expensive, while a randomized experiment is cheap. O B. Natural experiments are not influenced by omitted variables; randomized experiments contain omitted variables O C. A natural experiment uses existing variation, while a randomized experiment generates variation. O D. A natural experiment generates variation, while a randomized experiment uses existing variation. Which type of experiment is likely to yield more accurate results? O A. Randomized, because a natural experiment may not be completely randomized. O B. Natural, because there could be reverse causality. O C. Natural, because there could be an omitted variable. O D. Randomized, because a natural experiment may be completely influenced by chance. Suppose you had to find the effect of seatbelt rules on road accident fatalities. Would you choose to run a randomized experiment or would it make sense to use natural experiments here? Explain. O A. Randomized, because natural experiments with seatbelt rules may exist. O B. Natural, because seatbelt rules may be unrelated to road accident fatalities. O C. Randomized, because seatbelt rules may be influenced by road accident fatalities. O D. Natural, because seatbelt rules may increase road accident fatalities.10. The before-and-after experimental design falls under which of the following categories? a. pre-experimental research b. natural Experiments c. quasi-experimental research d. true experiments
