1. Copyright © 2013 Pearson Education, Inc.
6.7 Scores on the verbal section of the SAT have a mean of 500 and a standard deviation of 100. Scores are approximately normally distributed. What proportion of SAT scores are higher than 450?
a) 0.5 b) c) d) e)
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2. Copyright © 2013 Pearson Education, Inc.
6.7 Scores on the verbal section of the SAT have a mean of 500 and a standard deviation of 100. Scores are approximately normally distributed. What proportion of SAT scores are higher than 450?
a) 0.5 b) c) d) e)
Copyright © 2013 Pearson Education, Inc.

3. Copyright © 2013 Pearson Education, Inc.
6.8 Scores on the verbal section of the SAT have a mean of 500 and a standard deviation of 100. Scores are approximately normally distributed. If someone scored at the 90th percentile, what is her SAT score?
a) 608
b) 618
c) 628
d) 638
e) 648
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4. Copyright © 2013 Pearson Education, Inc.
6.8 Scores on the verbal section of the SAT have a mean of 500 and a standard deviation of 100. Scores are approximately normally distributed. If someone scored at the 90th percentile, what is her SAT score?
a) 608
b) 618
c) 628
d) 638
e) 648
Copyright © 2013 Pearson Education, Inc.

5. Copyright © 2013 Pearson Education, Inc.
7.7 Suppose that you wanted to take a sample of South Carolina elementary school teachers. What impact does using a larger sample size have on the sampling distribution of ?
a) The mean will increase.
b) The mean will decrease.
c) The standard error will increase.
d) The standard error will decrease.
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6. Copyright © 2013 Pearson Education, Inc.
7.7 Suppose that you wanted to take a sample of South Carolina elementary school teachers. What impact does using a larger sample size have on the sampling distribution of ?
a) The mean will increase.
b) The mean will decrease.
c) The standard error will increase.
d) The standard error will decrease.
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7. Copyright © 2013 Pearson Education, Inc.
8.2 When the sampling distribution is approximately normal, what is the margin of error equal to for a 95% confidence interval?
a) 1.96
b) 1.96*standard error
c) Standard error
d) Point estimate *standard error
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8. Copyright © 2013 Pearson Education, Inc.
8.2 When the sampling distribution is approximately normal, what is the margin of error equal to for a 95% confidence interval?
a) 1.96
b) 1.96*standard error
c) Standard error
d) Point estimate *standard error
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9. Copyright © 2013 Pearson Education, Inc.
8.5 True or False: An interval estimate gives you a range that the parameter has to fall within.
a) True
b) False
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10. Copyright © 2013 Pearson Education, Inc.
8.5 True or False: An interval estimate gives you a range that the parameter has to fall within.
a) True
b) False
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11. Copyright © 2013 Pearson Education, Inc.
8.7 In 2006 the GSS asked 2,986 people if they were very happy, pretty happy, or not too happy and 920 people said that they were very happy. Is the sample “large” enough to calculate the 95% confidence interval to estimate the proportion of all Americans that are very happy?
a) Yes, there are more than 30 observations.
b) Yes, there are more than 15 successes and 15
failures.
c) No, there are not more than 15 successes and 15
d) Cannot be determined.
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12. Copyright © 2013 Pearson Education, Inc.
8.7 In 2006 the GSS asked 2,986 people if they were very happy, pretty happy, or not too happy and 920 people said that they were very happy. Is the sample “large” enough to calculate the 95% confidence interval to estimate the proportion of all Americans that are very happy?
a) Yes, there are more than 30 observations.
b) Yes, there are more than 15 successes and 15
failures.
c) No, there are not more than 15 successes and 15
d) Cannot be determined.
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13. Copyright © 2013 Pearson Education, Inc.
8.8 In 2006 the GSS asked 2,986 people if they were very happy, pretty happy, or not too happy and 920 people said that they were very happy. Find the 95% confidence interval to estimate the proportion of all Americans that are very happy.
a) (0, 0.02)
b) (0.25, 0.37)
c) (0.27, 0.35)
d) (0.29, 0.32)
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14. Copyright © 2013 Pearson Education, Inc.
8.8 In 2006 the GSS asked 2,986 people if they were very happy, pretty happy, or not too happy and 920 people said that they were very happy. Find the 95% confidence interval to estimate the proportion of all Americans that are very happy.
a) (0, 0.02)
b) (0.25, 0.37)
c) (0.27, 0.35)
d) (0.29, 0.32)
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15. Copyright © 2013 Pearson Education, Inc.
8.12 The General Social Survey included a question about how many hours the respondent spent doing religious activities outside of their own home. For the 1,414 respondents the sample mean was 6.15 hours and the sample standard deviation was hours. Find the 95% confidence interval for the population mean amount of time spent doing religious activities outside of their own home.
a) (5.43, 6.87)
b) (-26.24, 38.55)
c) (5.29, 7.01)
d) (5.03, 7.27)
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16. Copyright © 2013 Pearson Education, Inc.
8.12 The General Social Survey included a question about how many hours the respondent spent doing religious activities outside of their own home. For the 1,414 respondents the sample mean was 6.15 hours and the sample standard deviation was hours. Find the 95% confidence interval for the population mean amount of time spent doing religious activities outside of their own home.
a) (5.43, 6.87)
b) (-26.24, 38.55)
c) (5.29, 7.01)
d) (5.03, 7.27)
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17. Copyright © 2013 Pearson Education, Inc.
9.1 Does a p-value equal to 0.41 show strong evidence OR not show strong evidence against the null hypothesis?
a) It does show strong statistically significant
evidence against the null hypothesis.
b) It does not show strong statistically significant
c) It is not possible to determine.
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18. Copyright © 2013 Pearson Education, Inc.
9.1 Does a p-value equal to 0.41 show strong evidence OR not show strong evidence against the null hypothesis?
a) It does show strong statistically significant
evidence against the null hypothesis.
b) It does not show strong statistically significant
c) It is not possible to determine.
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19. Copyright © 2013 Pearson Education, Inc.
9.2 Does a p-value equal to 0.01 show strong evidence OR not show strong evidence against the null hypothesis?
It does show strong statistically significant evidence against the null hypothesis.
It does not show strong statistically significant evidence against the null hypothesis.
It is not possible to determine.
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20. Copyright © 2013 Pearson Education, Inc.
9.2 Does a p-value equal to 0.01 show strong evidence OR not show strong evidence against the null hypothesis?
It does show strong statistically significant evidence against the null hypothesis.
It does not show strong statistically significant evidence against the null hypothesis.
It is not possible to determine.
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21. 9.3 Determine if the following statement is a null hypothesis or an alternative hypothesis.
“The average amount of time that all Americans spend exercising is 15 minutes a day.” a) b)
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22. Copyright © 2013 Pearson Education, Inc.
9.3 Determine if the following statement is a null hypothesis or an alternative hypothesis.
“The average amount of time that all Americans spend exercising is 15 minutes a day.” a) b)
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23. Copyright © 2013 Pearson Education, Inc.
9.5 Planned Parenthood wanted to see if the majority of Texas college students would support allowing those under the age of 18 to have access to birth control pills without their parent’s permission. What would be the null and alternative hypothesis of their study? a) b) c) d) e)
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24. Copyright © 2013 Pearson Education, Inc.
9.5 Planned Parenthood wanted to see if the majority of Texas college students would support allowing those under the age of 18 to have access to birth control pills without their parent’s permission. What would be the null and alternative hypothesis of their study? a) b) c) d) e)
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25. Copyright © 2013 Pearson Education, Inc.
9.6 Suppose that the test statistic equals 1.78, what is the p-value for the hypothesis ? a) b) c) d) e)
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26. Copyright © 2013 Pearson Education, Inc.
9.6 Suppose that the test statistic equals 1.78, what is the p-value for the hypothesis ? a) b) c) d) e)
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27. Copyright © 2013 Pearson Education, Inc.
9.9 Can consumers determine the difference between Oreos and generic brand Oreo-like cookies? One hundred people are blindfolded and asked to try each kind of cookie and determine which is the Oreo. If 56 people identified the Oreo cookies correctly, was the name brand identified more often than can be attributed to guessing? Compute the test statistic.
a) 1.20
b) -1.20
c) 0.89
d) -0.89
e) None of the above
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28. Copyright © 2013 Pearson Education, Inc.
9.9 Can consumers determine the difference between Oreos and generic brand Oreo-like cookies? One hundred people are blindfolded and asked to try each kind of cookie and determine which is the Oreo. If 56 people identified the Oreo cookies correctly, was the name brand identified more often than can be attributed to guessing? Compute the test statistic.
a) 1.20
b) -1.20
c) 0.89
d) -0.89
e) None of the above
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29. Copyright © 2013 Pearson Education, Inc.
9.17 An environmentalist is interested in studying the amount of dissolved oxygen in a fresh water lake. He is interested in finding if the average dissolved oxygen is significantly different from 8 mg/L. If he finds a P-value equal to 0.034, for alpha = 0.05 what kind of error could he make?
a) Type I
b) Type II
c) No error can be made
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30. Copyright © 2013 Pearson Education, Inc.
9.17 An environmentalist is interested in studying the amount of dissolved oxygen in a fresh water lake. He is interested in finding if the average dissolved oxygen is significantly different from 8 mg/L. If he finds a P-value equal to 0.034, for alpha = 0.05 what kind of error could he make?
a) Type I
b) Type II
c) No error can be made
Copyright © 2013 Pearson Education, Inc.