Exam 20: Inferences About Means
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
Exam 25: Analysis of Variance39 Questions
Exam 26: Multifactor Analysis of Variance22 Questions
Exam 27: Multiple Regression22 Questions
Exam 28: Multiple Regression Wisdom21 Questions
Exam 29: Rank-Based Nonparametric Tests29 Questions
Exam 30: The Bootstrap27 Questions
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How tall is your average statistics classmate? To determine this,you measure the height of a random sample of 15 of your fellow students,finding a 95% confidence interval for the mean height of 164.76 to 170.90 cm.
(Multiple Choice)
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A random sample of 30 households was selected from a particular neighborhood.The number of cars for each household is shown below.Estimate the mean number of cars per household for the population of households in this neighborhood.Give the 95% confidence interval. 2 0 1 2 3 2 1 0 1 4 1 3 2 0 1 1 2 3 1 2 1 0 0 0 5 2 2 1 0 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 21 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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You have constructed a 95% confidence interval to estimate the mean number of people downloading music files from the internet using a sample of 150 people.Which of the following statements is/are true?
I.A 95% Confidence interval will be wider than a 99% confidence interval.
II.Sampling a smaller number of people will increase the margin of error.
III.Changing the sample size will change the value of t*.
(Multiple Choice)
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Has the introduction of more music download services changed the number of university students that download music for free from the internet? Two years ago,approximately 50,000 university students admitted to downloading music for free from the internet.
(Multiple Choice)
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A manufacturer produces refrigerators that are claimed to maintain a true mean temperature of 7°C,ideal for certain beverages.The owner of a beverage company wants to conduct a test to determine if the true mean temperature of the refrigerators is different from this value.
(Multiple Choice)
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Are Canadians getting fatter? Researchers interested in this question take a random sample of 500 people and record an average weight of 190 pounds.Ten years ago,the average weight was 185 pounds.
(Multiple Choice)
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How many unpopped kernels are left when you pop a bag of microwave popcorn? Each day,quality control personnel take a random sample of 50 bags of popcorn.They pop each bag in a microwave and then count the number of unpopped kernels.Have the conditions and assumptions for inference been met?
(Multiple Choice)
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In 2009,the average final exam score for students in an introductory math course was 75%.Five years later,a teacher wants to perform a hypothesis test to determine whether the average score of students the course has changed from the 2009 mean of 75%.The hypotheses are: H0: μ = 75%
HA: μ ≠ 75%
Explain the result of a Type II error.
(Multiple Choice)
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A researcher performs a hypothesis test to test the claim that among girls aged 9-10,the mean score on a particular aptitude test differs from 72,which is the mean score for boys of the same age.Use the computer output below to draw a conclusion about the girls' scores,using a significance level of 0.05. Test of : ? = 72 vs : ? ? 72
N Mean StDev t P-value
19 75.88 12.7 1.33 0.20
(Multiple Choice)
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Alarmed at the rising gas prices in your town,you decide to estimate the average gas price for a litre of regular unleaded gasoline.From your sample of 25 gas stations,you calculate a 90% confidence interval of ($1.33,$1.41).
(Multiple Choice)
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In 2013,the average duration of long-distance telephone calls originating in one town was A long-distance telephone company wants to perform a hypothesis test to determine whether the average duration of long-distance phone calls has changed from the 2013 mean of
(Multiple Choice)
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Concerned about the high price of gas,you conduct a hypothesis test to determine if the cost of gas in your area has risen above $1.35 per litre.Use the provided computer output to draw a conclusion about the price of gas at a significance level of 0.05. Test of : ? = 1.35 vs : ? > 1.35
N Mean StDev t P-value
22 1.38 0.08 1.759 0.0466
(Multiple Choice)
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P-value for a right tailed test with a test-statistic of 2.13 from a sample of size 31.
(Multiple Choice)
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P-value for a right tailed test with a test-statistic of 3.25 from a sample of size 15.
(Multiple Choice)
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How much fat do reduced fat cookies typically have? You take a random sample of 51 reduced-fat cookies and test them in a lab,finding a mean fat content of 3.2 grams and a standard deviation of 1.1 grams of fat.Create a 99% confidence interval for the mean grams of fat.
(Multiple Choice)
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A researcher collected data on the annual salary of doctors in Nova Scotia.He wishes to construct a confidence interval for the mean annual salary.Which of the following is/are true?
I.A 98% confidence interval will have a greater chance of including the true mean salary than a 95% confidence interval.
II.A 98% confidence interval will be narrower than a 95% confidence interval.
III.A 98% confidence interval requires the researcher to take a larger sample.
(Multiple Choice)
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