Exam 4: A: probability and Probability Distributions
Exam 1: Describing Data With Graphs134 Questions
Exam 2: Describing Data With Numerical Measures235 Questions
Exam 3: Describing Bivariate Data57 Questions
Exam 4: A: probability and Probability Distributions107 Questions
Exam 4: B: probability and Probability Distributions157 Questions
Exam 5: Several Useful Discrete Distributions166 Questions
Exam 6: The Normal Probability Distribution235 Questions
Exam 7: Sampling Distributions231 Questions
Exam 8: Large-Sample Estimation187 Questions
Exam 9: A: large-Sample Tests of Hypotheses154 Questions
Exam 9: B: large-Sample Tests of Hypotheses106 Questions
Exam 10: A: Inference From Small Samples192 Questions
Exam 10: B: Inference From Small Samples124 Questions
Exam 11: A: The Analysis of Variance136 Questions
Exam 11: B: The Analysis of Variance137 Questions
Exam 12: A: linear Regression and Correlation131 Questions
Exam 12: B: linear Regression and Correlation171 Questions
Exam 13: Multiple Regression Analysis232 Questions
Exam 14: Analysis of Categorical Data158 Questions
Exam 15: A:nonparametric Statistics139 Questions
Exam 15: B:nonparametric Statistics95 Questions
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The probability of an event A is equal to the sum of the probabilities of the simple events contained in A.
(True/False)
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The experiment of rolling a single die once contains six simple events.
(True/False)
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If P(A) = 0.60, P(B) = 0.40, and P(B/A) = 0.60, then P(A/B) = 0.24.
(True/False)
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The probability of getting a black card when randomly drawing a card from a well-shuffled deck is 1/2.
(True/False)
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If events A and B are mutually exclusive, then what is the probability of both events occurring simultaneously?
(Multiple Choice)
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The expected value of a discrete probability distribution is its long-run average value, if the experiment is to be repeated many times.
(True/False)
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Bayes' Rule is a formula for revising an initial subjective (prior) probability value on the basis of results obtained by an empirical investigation, thereby obtaining a new (posterior) probability value.
(True/False)
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Suppose A and B are mutually exclusive events where P(A) = 0.1 and P(B) = 0.7, then P(A
B) = 0.8.

(True/False)
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The weight of a box of candy bars is an example of a discrete random variable since there are only a specific number of bars in the box.
(True/False)
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A false positive in screening (e.g., home pregnancy tests) may be best described by which of the following events?
(Multiple Choice)
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Combinations are distinguishable ordered arrangements of items, all of which have been drawn from a given group of items.
(True/False)
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The standard deviation of a discrete probability distribution measures the average variation of the random variable from the mean.
(True/False)
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Which of the following is a useful graphical method for displaying the sample space of an experiment?
(Multiple Choice)
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Suppose that an experiment consists of tossing four unbiased coins simultaneously. The number of simple events in this experiment is 16.
(True/False)
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Which of the following best describes all the outcomes (simple events) contained in one or the other of two random events, or possibly in both?
(Multiple Choice)
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There are two types of random variables: discrete and continuous.
(True/False)
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The probability distribution of the number of accidents in North York, Ontario, each day is given by
Which of the following could be used to describe this distribution?

(Multiple Choice)
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The number of students living off-campus is an example of a discrete random variable.
(True/False)
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The additive rule of probability is used to compute the probability of an intersection of two or more events. In other words, given two events A and B,
and also 


(True/False)
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