Exam 10: Understanding Randomness
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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Suppose that there are two candidates for the president of your school's student government,Candidate A and Candidate B.We believe that Candidate A has about a 52% of the votes of the student body.However,you're worried that only 1000 students will show up to vote.How often will Candidate A lose in this situation? To find out,you set up a simulation.Describe how you will simulate a component and its outcomes.
(Multiple Choice)
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Criticize the following simulation: A student uses a random number from 1 to 13 to simulate the value of a card drawn at random from a standard deck of playing cards.
(Multiple Choice)
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A university in your region estimates that graduating average of high school students who apply for admission to a particular university program can be described by a Normal model with a mean of 82% and a standard deviation of 5%.The staff in admissions open the applications at random looking for 10 applicants with averages above 85%.How many applications do you think the staff will need to open?
(Multiple Choice)
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Computers generate pseudorandom numbers.Can these numbers be used as random numbers? Why or why not?
(Multiple Choice)
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You are planning to take the test to be certified to administer CPR.Your teacher has told you that only 35% of candidates pass the test the first time.For those who fail the test on the first try,41% pass on their second attempt.Estimate the percentage of those tested who still are not certified after two attempts.Your simulation should use at least 20 runs.
(Multiple Choice)
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When drawing five cards randomly from a deck,which is more likely,a royal flush or a full house? A royal flush is the five highest cards of a single suit.A full house is three of one denomination and two of another.How could you simulate 5-card hands? Once you have picked one card,you cannot pick that same card again.Describe how you will simulate a trial.
(Multiple Choice)
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