Exam 8: Inference for Proportions
Exam 1: Looking at Datadistributions127 Questions
Exam 2: Looking at Datarelationships48 Questions
Exam 3: Producing Data70 Questions
Exam 4: Probability: the Study of Randomness93 Questions
Exam 5: Sampling Distributions77 Questions
Exam 6: Introduction to Inference89 Questions
Exam 7: Inference for Means103 Questions
Exam 8: Inference for Proportions101 Questions
Exam 9: Inference for Categorical Data122 Questions
Exam 10: Inference for Regression91 Questions
Exam 11: Multiple Regression95 Questions
Exam 12: One-Way Analysis of Variance74 Questions
Exam 13: Two-Way Analysis of Variance53 Questions
Exam 14: Logistic Regression53 Questions
Exam 15: Nonparametric Tests57 Questions
Exam 16: Bootstrap Methods and Permutation Tests42 Questions
Exam 17: Statistics for Quality: Control and Capability86 Questions
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It is estimated that 780,000 surgical site infections (SSIs)occur each year.SSIs are the second most common type of healthcare-associated infections in U.S.hospitals and account for an extra $3.5 to $10 billion in healthcare costs per year.The national SSIs rate is 1.9%.A Georgetown medical office was interested in determining if their SSI rate were smaller than the national average.Out of a sample of 277 patients in their study,only one infection occurred.Is the Georgetown medical office SSIs rate less than the national average SSIs rate? (Note: Use a significance level of .01)
(Multiple Choice)
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A manufacturer receives parts from two suppliers.A simple random sample of 400 parts from Supplier 1 finds 20 defective.A simple random sample of 200 parts from Supplier 2 finds 20 defective.Let p1 and p2 be the proportion of all parts from Supplier 1 and Supplier 2,respectively,that are defective.What is the estimate for the difference in proportions,p1 - p2?
(Multiple Choice)
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The margin of error includes the effects of sampling variability,nonresponse bias,and all other sources of errors possible in a study.
(True/False)
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A newspaper is conducting a statewide survey concerning the race for governor.The newspaper will take a simple random sample of n registered voters and determine X = the number of voters that will vote for the Democratic candidate.Is there evidence that a clear majority of the population will vote for the Democratic candidate? To answer this,they will test the hypotheses H0: p = 0.50 versus Ha: p > 0.50.Consider the two scenarios,where in Scenario 1,n = 1200 and X = 640.In Scenario 2,n = 120 and X = 64.Even though the values for
are the same in the two scenarios,we come to opposite decisions (we reject H0 in one scenario and we do not in the other).What is the reason for these contrasting decisions?

(Multiple Choice)
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Suppose we have two binomial populations where the true proportion of success is .2 for the first population and .3 for the second population.We take an SRS of size 4 from the first population,and the number of successes is 3.We take an SRS of size 400 from the second population,and the number of successes is 200.What is the standard deviation of
- .1?

(Multiple Choice)
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A simple random sample of 60 households in City 1 is taken.In the sample,there are 45 households that decorate their houses with lights for the holidays.A simple random sample of 50 households is also taken from the neighboring City 2.In the sample,there are 40 households that decorate their houses.We wish to estimate the difference in proportions of households that decorate their houses with lights for the holidays,with a 95% confidence interval.What is the standard error of the difference in sample proportions?
(Multiple Choice)
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A newspaper is conducting a statewide survey concerning the race for governor.The newspaper will take a simple random sample of n registered voters and determine X = the number of voters that will vote for the Democratic candidate.Is there evidence that a clear majority of the population will vote for the Democratic candidate? To answer this,they will test the hypotheses H0: p = 0.50 versus Ha: p > 0.50.If n = 1200 and X = 640,what is the P-value for this hypothesis test?
(Multiple Choice)
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A simple random sample of 120 vet clinics in the Midwest reveals that the vast majority of clinics only treat small pets (dogs,cats,rabbits,etc. )and not large animals (cows,horses,etc. ).Of the 120 clinics sampled,88 responded that they do not treat large animals at their clinic.What is a 90% confidence interval for p,the population proportion of vet clinics that do treat large animals?
(Multiple Choice)
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The candy company that makes M&M's claims that 10% of the M&M's it produces are green.Suppose that the candies are packaged at random,and the small bags contain 25 M&M's.When we randomly pick a bag of M&M's,we may assume that this represents a simple random sample of size n = 25.Suppose that in a randomly selected small bag of M&M's,there are 5 green M&M's.What is the plus four estimate of the proportion of green M&M's?
(Multiple Choice)
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Suppose you are conducting a study to determine if women are better drivers than men.You send your survey to over 1000 students on your campus and 5 students respond that women are better drivers and 4 students respond that women are not better drivers. What is the standard error of
using the plus four method for women who are better drivers than men?

(Multiple Choice)
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If two sample counts of success are equal,then the sample proportions must be equal.
(True/False)
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The test statistic for comparing two proportions is based on the ______ distribution.
(Multiple Choice)
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The candy company that makes M&M's claims that 10% of the M&M's it produces is green.Suppose that the candies are packaged at random in large bags of 200 M&M's.When we randomly pick a bag of M&M's,we may assume that this represents a simple random sample of size n = 200.Suppose we wish to test H0: p = 0.10 versus Ha: p 0.10.Suppose that in the randomly selected bag of M&M's there are only 12 green M&M's.Calculate the value of the large-sample z statistic.If a 90% confidence interval were also calculated from the data,would it contain the value 0.10?
(Multiple Choice)
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The candy company that makes M&M's claims that 10% of the M&M's it produces is green.Suppose that the candies are packaged at random in large bags of 200 M&M's.When we randomly pick a bag of M&M's,we may assume that this represents a simple random sample of size n = 200.Suppose we wish to test H0: p = 0.10 versus Ha: p 0.10.Under the null hypothesis,what is the value of the standard error of
,the sample proportion of green M&M's in a bag of 200?

(Multiple Choice)
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A simple random sample of 60 blood donors is taken to estimate the proportion of donors with type A blood with a 95% confidence interval.In the sample,there are 10 people with type A blood.What is the margin of error for this confidence interval?
(Multiple Choice)
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A simple random sample of 450 residents in the state of New York is taken to estimate the proportion of people who live within 1 mile of a hazardous waste site.If 315 of the residents in the sample live within 1 mile of a hazardous waste site,what are the values of the sample proportion of people who live within 1 mile of a hazardous waste site and its standard error?
(Multiple Choice)
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A sociologist is studying the effect of having children within the first 2 years of marriage on the divorce rate.Using hospital birth records,she selects a simple random sample of 200 couples who had children within the first 2 years of marriage.Following up on these couples,she finds that 80 couples are divorced within 5 years.Let p = the population proportion of couples who had children within the first 2 years of marriage and are divorced within 5 years.What is a 90% plus four confidence interval for the proportion of couples who had children within the first 2 years of marriage and are divorced within 5 years?
(Multiple Choice)
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A study was conducted at the University of Waterloo on the impact characteristics of football helmets used in competitive high school programs.There were three types of helmets considered,classified according to liner type: suspension,padded-suspension,and padded.In the study,a measurement called the Gadd Severity Index (GSI)was obtained on each helmet,using a standardized impact test.A helmet was deemed to have failed if the GSI was greater than 1200.Of the 81 helmets tested,29 failed the GSI 1200 criterion.Assume that the suspension helmets tested were selected at random.What are the point estimates of the proportion of suspension helmets that fail and the standard error of the estimate,respectively?
(Multiple Choice)
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Suppose the relative risk between
and
is 1.What are appropriate values for
and
?




(Multiple Choice)
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Suppose we have two binomial populations where the true proportion of success is .2 for the first population and .3 for the second population.We take an SRS of size 4 from the first population,and the number of successes is 3.We take an SRS of size 400 from the second population,and the number of successes is 200.Why should
be closer to .3?

(Multiple Choice)
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