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## Question 5 options: The 99% confidence interval would be wider; that is, it would have a larger marg

Question 5 options: The 99% confidence interval would be wider; that is, it would have a larger margin of error. The 99% confidence interval would be narrower; that is, it would have a smaller margin of error. There would be no change between the two intervals by increasing the confidence level from 95% to 99%.SaveQuestion 6 (1 point) Question 6 UnsavedFrom time to time police set up roadblocks to check cars to see if the safety inspection is up to date. At one such roadblock they issued tickets for expired inspection stickers to 22 of 628 cars they stopped. Based on the results at this roadblock, they construct a 95% confidence interval for the true proportion of all drivers with expired inspections and find it to be (2%, 5%). Intepret this interval.Question 6 options: 95% of the cars stopped have between 2% and 5% expired safety inspection stickers. We are 95% confident that the true proportion of all automobiles in the region whose safety inspections have expired lies somewhere between 2% and 5%. We are 95% confident that the sample proportion of all automobiles in the region whose safety inspections have expired lies somewhere between 2% and 5%.SaveQuestion 7 (1 point) Question 7 UnsavedA survey of 865 voters in one state reveals that 408 favor approval of an issue before the legislature. Construct a 95% confidence interval for the percentage of all voters in the state who favor approval.Question 7 options: (44.4%, 50.0%) (43.8%, 50.5%) (43.1%, 51.2%) (46.9%, 47.5%)SaveQuestion 8 (1 point) Question 8 UnsavedUse the following information to answer the next three questions.An opinion poll asks a SRS of 100 college seniors how they view their job prospects. In all, 53 say “Good.” Does this poll give us evidence that more than half of all college seniors think their job prospects are good?The hypotheses used to conduct this test areQuestion 8 options: Ho: p = 0.5Ha: p > 0.5 Ho: p > 0.5Ha: p = 0.5 Ho: p = 0.5Ha: p does not equal 0.5 Ho: p = 0.5Ha: p < 0.5savequestion=”” 9=”” (1=”” point)=”” question=”” 9=”” unsavedthe=”” value=”” of=”” the=”” test=”” statistic=”” for=”” this=”” test=”” is=”” aboutquestion=”” 9=”” options:=”” z=”12″ z=”6″ z=”1.4″ z=”0.6SaveQuestion” 10=”” (1=”” point)=”” question=”” 10=”” unsavedwhat=”” conclusion=”” would=”” you=”” make=”” for=”” this=”” test=”” if=”” alpha=”0.05?Question” 10=”” options:=”” since=”” the=”” p-value=”” is=”” less=”” than=”” alpha,=”” we=”” would=”” decide=”” to=”” reject=”” the=”” null=”” hypothesis,=”” indicating=”” evidence=”” that=”” the=”” true=”” proportion=”” of=”” seniors=”” that=”” think=”” their=”” job=”” propsects=”” are=”” “good”=”” is=”” more=”” than=”” 50%.=”” since=”” the=”” p-value=”” is=”” greater=”” than=”” alpha,=”” we=”” would=”” decide=”” to=”” fail=”” to=”” reject=”” the=”” null=”” hypothesis,=”” indicating=”” evidence=”” that=”” the=”” true=”” proportion=”” of=”” seniors=”” that=”” think=”” their=”” job=”” propsects=”” are=”” “good”=”” equals=”” 50%.=””>