Exam 18: Confidence Intervals for Proportions
Exam 1: Data30 Questions
Exam 2: Displaying and Describing Categorical Data65 Questions
Exam 3: Displaying and Summarizing Quantitative Data93 Questions
Exam 4: Understanding and Comparing Distributions102 Questions
Exam 5: The Standard Deviation As a Ruler and the Normal Model131 Questions
Exam 6: Scatterplots, association, and Correlation74 Questions
Exam 7: Linear Regression57 Questions
Exam 8: Regression Wisdom32 Questions
Exam 9: Re-Expressing Data: Get It Straight51 Questions
Exam 10: Understanding Randomness26 Questions
Exam 11: Sample Surveys50 Questions
Exam 12: Experiments and Observational Surveys87 Questions
Exam 13: From Randomness to Probability64 Questions
Exam 14: Probability Rules90 Questions
Exam 15: Random Variables112 Questions
Exam 16: Probability Models114 Questions
Exam 17: Sampling Distribution Models45 Questions
Exam 18: Confidence Intervals for Proportions56 Questions
Exam 19: Testing Hypotheses About Proportions50 Questions
Exam 20: More About Tests69 Questions
Exam 21: Comparing Two Proportions52 Questions
Exam 22: Inferences About Means106 Questions
Exam 23: Comparing Means43 Questions
Exam 24: Paired Samples and Blocks33 Questions
Exam 25: Comparing Counts78 Questions
Exam 26: Inferences for Regression51 Questions
Exam 27: Analysis of Variance39 Questions
Exam 28: Multifactor Analysis of Variance22 Questions
Exam 29: Multiple Regression22 Questions
Exam 30: Multiple Regression Wisdom21 Questions
Exam 31: Rank-Based Nonparametric Tests29 Questions
Exam 32: The Bootstrap31 Questions
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Of 125 adults selected randomly from one town,28 of them smoke.Construct a 99% confidence interval for the percentage of all adults in the town who smoke.
(Multiple Choice)
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Of 314 randomly selected medical students,25 said that they planned to work in a rural community.Construct a 95% confidence interval for the percentage of all medical students who plan to work in a rural community.
(Multiple Choice)
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A survey of shoppers is planned to see what percentage use credit cards.Prior surveys suggest 56% of shoppers use credit cards.How many randomly selected shoppers must we survey in order to estimate the proportion of shoppers who use credit cards to within 1% with 95% confidence?
(Multiple Choice)
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A recent poll of 500 residents in a large town found that only 36% were in favor of a proposed referendum to build a new high school.Find the margin of error for this poll if we want 90% confidence in our estimate of the percent of residents in favor of this proposed referendum.
(Multiple Choice)
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A survey found that 79% of a random sample of 1024 Canadian adults approved of cloning endangered animals.Find the margin of error for this survey if we want 90% confidence in our estimate of the percent of Canadian adults who approve of cloning endangered animals.
(Multiple Choice)
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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 90% confident,how will the margin of error change?
(Multiple Choice)
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Analysis of a random sample of 250 Nova Scotia nurses produced a 95% confidence interval for the mean annual salary of $42,841 < μ(Nurse Salary)< $49,696.
(Multiple Choice)
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In a survey of 1,000 television viewers,40% said they watch network news programs.For a 90% confidence level,the margin of error for this estimate is 2.5%.If we want to be 99% confident,how will the margin of error change?
(Multiple Choice)
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A researcher wants to estimate the mean cholesterol level of people in his city.A random sample of 221 people yields an average cholesterol level of 219,with a margin of error of ±12.Assume the researcher used a confidence level of 90%.
(Multiple Choice)
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An advertising firm wants to confirm estimates that 18% of households will buy something on the internet next year.What sample size will produce a margin of error of 7% with 90% confidence level?
(Multiple Choice)
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A random sample of clients at a weight loss centre were given a dietary supplement to see if it would promote weight loss.The centre reported that the 100 clients lost an average of 47 pounds,and that a 95% confidence interval for the mean weight loss this supplement produced has a margin of error of ±9 pounds.
(Multiple Choice)
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How many unpopped kernels are left when you pop a bag of microwave popcorn? Quality control personnel at Yummy Popcorn take a random sample of 80 bags of popcorn.They pop each bag in a microwave and then count the number of unpopped kernels.The following interval is produced:
T-interval for μ : with 99% Confidence,
11 < μ(unpopped)< 25
(Multiple Choice)
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Data collected by child development scientists produced the following 90% confidence interval for the average age (in months)at which children say their first word: 10.2 < μ(age)< 13.5.
(Multiple Choice)
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A credit union took a random sample of 400 accounts and obtained the following 90% confidence interval for the mean checking account balance at the institution: $2,185 < μ(balance)< $3,846.
(Multiple Choice)
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A sociologist develops a test to measure attitudes about public transportation,and 100 randomly selected subjects are given the test.Their mean score is 76.2 and their standard deviation is 21.4.Construct the 95% confidence interval for the mean score of all such subjects.
(Multiple Choice)
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How much fat do reduced fat cookies typically have? You take a random sample of 120 reduced-fat cookies and test them in a lab,finding a mean fat content of 3.2 grams and a standard deviation of 1.9 grams of fat.Create a 99% confidence interval for the mean grams of fat.
(Multiple Choice)
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A random sample of 64 statistics students at a small college were given a surprise quiz out of 40 marks.The average score was 27 with a standard deviation of 5.Find a 95% confidence interval for the mean quiz score for all statistics students at this college.
(Multiple Choice)
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How tall is the average student on your campus? To determine this,you measure the height of a random sample of 200 students,finding a mean height of 166.60 cm and a standard deviation of 5.64 cm.Construct a 90% confidence interval for the mean height of your fellow students.
(Multiple Choice)
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A researcher wishes to estimate the proportion of fish in a certain lake that is inedible due to pollution of the lake.How large a sample should be tested in order to be 99% confident that the true proportion of inedible fish is estimated to within 6%?
(Multiple Choice)
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A laboratory tested 60 chicken eggs and found that the mean amount of cholesterol was 241 milligrams with s = 14.7 milligrams.Construct a 95% confidence interval for the true mean cholesterol content of all such eggs.
(Multiple Choice)
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