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Chapter 19 to 22 MC AP Stat part 2

Quiz by Corey Klein

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8 questions
Show answers
  • Q1
    1. A political action committee is interested in finding out what kind of popular support they might expect on an environmental initiative. Similar issues have gotten 94% support. The committee will set up a polling program to assure 95% confidence that the margin of error is less than 4%. What sample size will suffice?
    408
    121
    136
    5
    120s
  • Q2
    2. What confidence level did the pollsters use? A poll of 2017 likely voters indicated that 70% would vote in favor of a proposed constitutional amendment. The margin of error for this poll was 2%.
    90%
    99%
    98%
    95%
    120s
  • Q3
    3. In a survey of 1,000 television viewers, 40% said they watch network news programs. For a 99% confidence level, the margin of error for this estimate is 3.99%. If we only want to be 95% confident, how will the margin of error change?
    Since less confidence allows a wider interval, the margin of error will be smaller.
    Since less confidence allows a narrower interval, the margin of error will be larger.
    Since less confidence allows a wider interval, the margin of error will be larger.
    Since less confidence allows a narrower interval, the margin of error will be smaller.
    120s
  • Q4
    4. Which is true about a 98% confidence interval for a population proportion based on a given sample? I. We are 98% confident that other sample proportions will be in our interval. II. There is a 98% chance that our interval contains the population proportion. III. The interval is wider than a 95% confidence interval would be.
    III only
    I only
    II only
    I and II
    120s
  • Q5
    5. The county health department has concerns about the chlorine level of 0.4% mg/mL at a local water park increasing to unsafe level. The water department tests the hypothesis that the local water park's chlorine proportions have remained the same, and find a P-value of 0.005. Provide an appropriate conclusion
    We can say there is a 0.5% chance of seeing no change in the chlorine proportions in the results we observed from natural sampling variation. There is no evidence of a higher chlorine proportion, but we cannot conclude the chlorine proportion is the same.
    There's only a 0.5% chance of seeing no change in the chlorine proportion in the results we observed from natural sampling variation. We conclude the chlorine proportion is higher.
    We can say there is a 0.5% chance of seeing a change in the chlorine proportions in the results we observed from natural sampling variation. We conclude the chlorine proportion is higher.
    There is a 99.5% chance of no change in the chlorine proportion.
    120s
  • Q6
    6. The federal guideline for smog is 12% pollutants per 10,000 volume of air. A metropolitan city is trying to bring its smog level into federal guidelines. The city comes up with a new policy where city employees are to use city transportation to and from work. A local environmental group does not think the city is doing enough and no real decrease will occur. An independent agency, hired by the city, runs its tests and comes up with a P-value of 0.055. What is reasonable to conclude about the new strategy using α = 0.025?
    We can say there is a 5.5% chance of seeing the new policy having an effect on smog in the results we observed from natural sampling variation. We conclude the new policy is more effective.
    There's only a 5.5% chance of seeing the new policy having no effect on smog in the results we observed from natural sampling variation. We conclude the new policy is more effective.
    There is a 94.5% chance of the new policy having no effect on smog.
    We can say there is a 5.5% chance of seeing the new policy having no effect on smog in the results we observed from natural sampling variation. There is no evidence the new policy is more effective, but we cannot conclude the policy has no effect on smog.
    120s
  • Q7
    7. A psychologist claims that more than 1.4% of the population suffers from professional problems due to extreme shyness. Identify the Type II error in this context.
    The error of accepting the claim that the true proportion is more than 1.4% when it really is more than 1.4%.
    The error of rejecting the claim that the true proportion is more than 1.4% when it really is more than 1.4%.
    The error of failing to accept the claim that the true proportion is at most 1.4% when it is actually more than 1.4%.
    The error of failing to reject the claim that the true proportion is at most 1.4% when it is actually more than 1.4%.
    120s
  • Q8
    8. Not wanting to make a bad product, an auto company decides to run one more test on potential on-board computer problems, this time requiring a larger number of working computers than they had for earlier tests. This higher standard of proof will increase . I. the risk of Type I error II. the risk of Type II error III. Power
    I and III
    I only
    III only
    II only
    120s

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