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A study randomly assigned 200 lab rats to 20 different groups: 2 control groups and 18 treatment groups in which the rats were fed various amounts of genetically modified corn exposed to the pesticide Roundup. The researchers ran a separate hypothesis test for each group and found a significant (P-value < 0.05) number of tumors for 2 treatment groups. The published findings received some criticism. Here is a quote about this study: "[T]he fact that such clusters of tumors didn't show up in the two small control groups could easily be due to random chance." What does this quote refer to?


A) The possibility that the lack of statistical significance in the control groups is a Type I error
B) The possibility that the lack of statistical significance in the control groups is a Type II error
C) The certainty that the lack of statistical significance in the control groups is a Type I error
D) The certainty that the lack of statistical significance in the control groups is a Type II error

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Because small random samples have a lot of chance variation, even large deviations from the null hypothesis can fail to be statistically significant if the sample is small.

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True

A study examined the link between sodium intake and blood pressure in children and adolescents between the ages of 8 and 18. The mean systolic blood pressure (SBP) was 112.8 mm Hg among the 636 study participants who were overweight or obese and consumed high levels of sodium, resulting in a 95% confidence interval for this group of 110.7 to 114.9 mm Hg. How would the margin of error for a 99% confidence interval based on the same 636 study participants compare?


A) It would have a smaller margin of error than the 95% confidence interval.
B) It would have the same margin of error than the 95% confidence interval.
C) It would have a larger margin of error than the 95% confidence interval.
D) It would likely change, but we cannot tell if it would have a smaller or a larger margin of error.

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A researcher proposes a study to investigate a quantitative variable for which the population standard deviation is known to be 4. She wants a margin of error of 2.5 with 95% confidence. Which sample size should she use?


A) 3
B) 4
C) 9
D) 10

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D

The distribution of total body protein in adult men with liver cirrhosis is approximately Normal, with standard deviation σ= 0.1 kg. A 95% confidence interval for the true mean total body protein of adult men with liver cirrhosis, based on 67 randomly selected adult males with liver cirrhosis, has a margin of error of 0.024 kg. If the study had enrolled more subjects, how would the resulting margin of error for a 95% confidence interval compare?


A) It would be the same.
B) It would be larger.
C) It would be smaller.
D) It may be different, but that would depend on the actual sample mean.

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Which of the following is NOT an assumption included in the simple conditions for inference about a mean?


A) Simple random sampling with no nonresponse or other practical difficulty
B) Response variable with a perfect Normal distribution in the population
C) A population mean that is known
D) A population standard deviation that is known

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A study randomly assigned 200 lab rats to 20 different groups: 2 control groups and 18 treatment groups in which the rats were fed various amounts of genetically modified corn exposed to the pesticide Roundup. The researchers ran a separate hypothesis test for each group and found a significant (P-value < 0.05) number of tumors for 2 treatment groups. The published findings received some criticism. Here is a quote about this study: "Critics point out that the type of rats used in this study are particularly prone to tumors. So if you divide up 200 of them into 20 groups, you are likely to get very high (statistically significant) tumor rates in some of the groups." What does this quote refer to?


A) The possibility that the statistically significant results are a Type I error
B) The possibility that the statistically significant results are a Type II error
C) The certainty that the statistically significant results are a Type I error
D) The certainty that the statistically significant results are a Type II error

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Does 30 minutes of meditation every day provide significant improvement in mental performance? To investigate this issue, a researcher conducted a study with 150 adult subjects who meditated for 30 minutes each day for a period of 6 months. At the end of the study, 300 variables related to the mental performance of the subjects were measured on each subject, and the means compared to known means for these variables in the population of all adults. Sixteen of these variables were significantly better (in the sense of statistical significance) at the α= 0.05 level for the group who performed 30 minutes of meditation each day as compared to the population as a whole, and 3 variables were significantly better at the α= 0.01 level for the group who performed 30 minutes of meditation each day as compared to the population as a whole. What would be the correct conclusion?


A) There is very good statistical evidence that 30 minutes of meditation each day provides some improvement in mental performance.
B) There is very good statistical evidence that 30 minutes of meditation each day provides some improvement for the variable that was significant at the α= 0.01 level. We should be somewhat cautious about making claims for the variables that were significant at the α= 0.05 level.
C) These results would have provided very good statistical evidence that 30 minutes of meditation each day provides some improvement in mental performance if the number of subjects had been larger. It is premature to draw statistical conclusions from studies in which the number of subjects is smaller than the number of variables measured.
D) None of these options is correct.

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The distribution of total body protein in adult men with liver cirrhosis is approximately Normal, with standard deviation σ= 0.1 kg. Which sample size, n, would be required to obtain a margin of error of 0.01 kg for a 95% confidence interval for the mean total body protein of adult men with liver cirrhosis?


A) 20
B) 200
C) 385
D) 400

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A study examined the link between sodium intake and blood pressure in children and adolescents between the ages of 8 and 18. The mean systolic blood pressure (SBP) was 112.8 mm Hg among the 636 study participants who were overweight or obese and consumed high levels of sodium, resulting in a 95% confidence interval for this group of 110.7 to 114.9 mm Hg. If there had been more than 636 participants in this group, how would the resulting margin of error for a 95% confidence interval compare?


A) It would have been smaller than the original margin of error.
B) It would have been the same as the original margin of error.
C) It would have been larger than the original margin of error.
D) It may have been different than the original margin of error, but that would depend on the actual sample mean.

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What does statistical significance depend on?


A) The size of the observed effect
B) The variability of individuals in the population
C) The sample size
D) All of these options are correct.

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A radio show runs a phone-in survey each morning. One morning the show host asked listeners whether the city should change regulations for new structures at local beachfront property to save certain sea grass populations. Most of those phoning in their responses answered, "No, it is just grass-there is no reason to worry about it," and the station reported the results as statistically significant. What may we safely conclude?


A) There is strong evidence that the city council should change the regulations.
B) It is unlikely that, if all Americans were asked their opinion, the result would differ from that obtained in the poll.
C) There is strong evidence that the city council should not change the regulations.
D) We can conclude very little other than that most of those phoning in their responses believe there is no reason to care about sea grass.

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The pH measurements of water specimens from various locations along a given river basin are Normally distributed, with standard deviation σ= 0.3. The average pH of water specimens from 4 randomly selected locations on this river basin is x̄= 7.8. A 95% confidence interval for μ was computed for these data. If, instead of 4 water specimens, we had measured the pH of 16 water specimens, how would the margin of error of a 95% confidence interval for μ compare to the original 95% confidence interval based on a sample of 4 specimens?


A) It would be four times as large.
B) It would be twice as large.
C) It would be half as large.
D) It would be one-fourth as large.

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A study examined the link between sodium intake and blood pressure in children and adolescents between the ages of 8 and 18. The mean systolic blood pressure (SBP) was 112.8 mm Hg among the 636 study participants who were overweight or obese and consumed high levels of sodium, resulting in a 95% confidence interval for this group of 110.7 to 114.9 mm Hg. The numerical value of the margin of error for this confidence interval is __________ mm Hg.

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The z procedures and many other procedures designed for Normal distributions rely Normality of individual observations in the population.

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The decrease in cholesterol level after eating a certain brand of oatmeal for breakfast for one month in people with cholesterol levels more than 200 mg/dl is Normally distributed, with mean (in milligrams, mg) μ and standard deviation σ= 3. The brand advertises that eating its oatmeal for breakfast daily for one month will produce a mean decrease in cholesterol of more than 10 points for people with cholesterol levels more than 200 mg/dl, but you believe that the mean decrease in cholesterol is less than advertised. To explore this question, you test the following hypotheses: H0: μ= 10, Ha: μ< 10 You carry out the test at a significance level of 0.05 by randomly selecting 100 people with cholesterol levels more than 200 mg/dl and, after they have eaten this brand of oatmeal for one month, computing the mean decrease x̄ in the subjects' cholesterol levels. What is the probability of a Type I error for your test at μ= 8.5?


A) 0.0012
B) 0.0500
C) 0.9500
D) 0.9988

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B

What is the consequence of rejecting the null hypothesis when, in fact, it is true?


A) We have committed a Type I error.
B) We have committed a Type II error.
C) We have computed a probability of being correct that is equal to the P-value.
D) We have computed a probability of being correct that is equal to 1 - (P-value) .

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You collect a random sample of size n from a population; from the data collected, you compute a 95% confidence interval for the mean of the population. Which of the following would produce a new confidence interval with larger width (larger margin of error) based on these same data?


A) Use a larger confidence level.
B) Use a smaller confidence level.
C) Use the same confidence level but compute the interval n times. Approximately 5% of these intervals will be larger.
D) Nothing can guarantee absolutely that you will get a larger interval.We can say only that the chance of obtaining a larger interval is 0.05.

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The P-value gives the probability that the data are the result of chance variations alone.

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A researcher wishes to determine if aerobic exercise improves mental performance immediately following the exercise. He plans to have high school students participate in 30 minutes of aerobic exercise and then take a standard test of their reasoning skills. Suppose the scores of high school students on this test of reasoning skills immediately after 30 minutes of aerobic exercise follow a Normal distribution, with mean μ and standard deviation σ= 4. Suppose also that, in the general population of all high school students, scores on the test of reasoning skills follow a Normal distribution, with mean 25 and standard deviation σ= 4. The researcher, therefore, decides to test the following hypotheses: H0: μ= 25, Ha: μ> 25 To do so, the researcher has 10,000 high school students perform 30 minutes of aerobic exercise and then, immediately following the exercise, take the test. The mean score for these students is x̄= 25.2 and the P-value is less than 0.0001. It is appropriate to conclude which of the following?


A) The researcher has conclusively proved that, for high school students, 30 minutes of aerobic exercise substantially improves mental performance.
B) The researcher has strong evidence that, for high school students, 30 minutes of aerobic exercise substantially improves mental performance.
C) The researcher has moderate evidence that, for high school students, 30 minutes of aerobic exercise substantially improves mental performance.
D) None of these options is correct.

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