Chapter 11 Probability and Statistics

1) Deterministic techniques assume that no uncertainty exists in model parameters.

Answer: TRUE

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Main Heading: Types of Probability

Key words: deterministic techniques

2) Probabilistic techniques assume that no uncertainty exists in model parameters.

Answer: FALSE

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Main Heading: Types of Probability

Key words: probabilistic techniques

3) Objective probabilities that can be stated prior to the occurrence of an event are classical or a priori.

Answer: TRUE

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Main Heading: Types of Probability

Key words: objective probabilities, classical probabilities

4)

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Answer: Subjective

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Main Heading: Types of Probability

Key words: subjective probability

27) The events in an experiment are __________ if only one can occur at a time.

Answer: mutually exclusive

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Main Heading: Fundamentals of Probability

Key words: mutually exclusive events

28) A __________ organizes numerical data to describe the events of an experiment.

Answer: frequency distribution

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Main Heading: Fundamentals of Probability

Key words: frequency distribution

29) A __________ is the probability of occurrence of a single event.

Answer: marginal probability

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Main Heading: Fundamentals of Probability

Key words: marginal probability

30) __________ can enable one to improve marginal probabilities of the occurrence of an event by gathering additional information.

Answer: Bayesian analysis

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Main Heading: Fundamentals of Probability

Key words: Bayesian analysis

31) A succession of events that do not affect each other are __________.

Answer: independent

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Main Heading: Statistical Independence and Dependence

Key words: independence

32) A __________ probability is the probability that an event will occur given that another event has already occurred.

Answer: conditional

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Main Heading: Statistical