Exam 16: Confidence Intervals for Proportions
Exam 1: Stats Starts Here33 Questions
Exam 2: Displaying and Describing Categorical Data70 Questions
Exam 3: Displaying and Summarizing Quantitative Data148 Questions
Exam 4: Understanding and Comparing Distributions46 Questions
Exam 5: The Standard Deviation As a Ruler and the Normal Model111 Questions
Exam 6: Scatterplots, association, and Correlation78 Questions
Exam 7: Linear Regression71 Questions
Exam 8: Regression Wisdom32 Questions
Exam 9: Understanding Randomness26 Questions
Exam 10: Sample Surveys64 Questions
Exam 11: Experiments and Observational Studies80 Questions
Exam 12: From Randomness to Probability69 Questions
Exam 13: Probability Rules95 Questions
Exam 14: Random Variables215 Questions
Exam 15: Sampling Distribution Models51 Questions
Exam 16: Confidence Intervals for Proportions71 Questions
Exam 17: Testing Hypotheses About Proportions44 Questions
Exam 18: More About Tests67 Questions
Exam 19: Comparing Two Proportions53 Questions
Exam 20: Inferences About Means123 Questions
Exam 21: Comparing Means50 Questions
Exam 22: Paired Samples and Blocks35 Questions
Exam 23: Comparing Counts76 Questions
Exam 24: Inferences for Regression57 Questions
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Exam 27: Multiple Regression22 Questions
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Exam 29: Rank-Based Nonparametric Tests29 Questions
Exam 30: The Bootstrap27 Questions
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How tall is the average student on your campus? To determine this,you measure the height,in centimetres,of a random sample of 200 students and calculate the following confidence interval with 95% confidence: 155.72 < μ(height)< 181.20
(Multiple Choice)
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Of 346 items tested,12 are found to be defective.Construct a 98% confidence interval for the percentage of all such items that are defective.
(Multiple Choice)
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The real estate industry claims that it is the best and most effective system to market residential real estate.A survey of randomly selected home sellers in Ontario found that a 90% confidence interval for the proportion of homes that are sold by a real estate agent is 75% ± 6%.Explain why each of these conclusions is not correct.
a)Between 69% and 81% of all homes in Ontario are sold by a real estate agent.
b)90% of all random samples of home sellers in Ontario will show that 75% of homes are sold by a real estate agent.
c)90% of all random samples of home sellers in Ontario will show that 69% to 81% of homes are sold by a real estate agent.
d)We are 90% sure that between 69% and 81% of homes in this sample were sold by a real estate agent.
(Essay)
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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 company has surveyed a sample of its employees to find out how many might take advantage of a weight loss program.The table below shows the results.For which of the groups could we use our methods of inference to determine a 95% confidence interval for the proportion of employees who would be willing to participate in the program? Group Number of Employees Number Surveyed Percent to Participate Building C 5200 250 8\% Building B 1190 150 6\% Building A 248 20 9\%
(Short Answer)
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The management of a water park has concerns about the chlorine level of 0.4% mg/mL increasing to an unsafe level.The management tests the hypothesis that the park's chlorine proportions have remained the same.An independent agency ran a test on a random sample size of and found the chlorine level at 0.5% mg/mL.Create a 95% confidence interval for the proportion of chlorine in the water.
(Multiple Choice)
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In a poll of 553 voters in a certain city,64% said that they supported the NDP in an upcoming election.The margin of error in the poll was reported as 4 percentage points (with a 95% degree of confidence).Make a statement about the adequacy of the sample size for the given margin of error.
(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 survey of 865 people in one city reveals that 408 have visited a Tim Hortons location in the past week.Construct a 95% confidence interval for the percentage of all people in this city who have visited a Tim Hortons location in the last week.
(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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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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A local bank needs information concerning the checking account balances of its local customers.A random sample of 144 accounts was checked and yielded a mean balance of $664.14 and a standard deviation of $297.29.Find a 98% confidence interval for the true mean checking account balance for local customers.
(Multiple Choice)
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A poll of 2841 registered voters in a certain town indicated that 70% would vote for the Liberal Party of Canada.The margin of error for this poll was 2%.
(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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Of 88 adults selected randomly from one town,60 have health insurance.Construct a 90% confidence interval for the percentage of all adults in the town who have health insurance.
(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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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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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: $2185 < μ(balance)< $3846.
(Multiple Choice)
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According to the 2004 Canadian Community Health Survey,23.1% of Canadians aged 18 or older were considered obese; that is,they had a body mass index (BMI)of 30 or higher.Suppose a current survey in 2014 of 1000 random Canadians found that 245 were obese.Create a 95% confidence interval for the proportion of Canadians that are currently obese.
(Multiple Choice)
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