1. For all experiments below, which probability distribution would be appropriate for each situation? (a) The probability of seeing no 4's in 8 rolls of a standard die: (b) The probability of passing an exam is 80% and failing an exam is 20%. A student want to model the probability that they pass the exam. (c) Suppose there are 10 multiple choice questions on an exam. A student wants to model the probability of them receiving a score of 80% or higher. (d) Suppose that a researcher wants to model the average time it takes for people in Seattle to commute to work.

College Algebra
7th Edition
ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
Chapter9: Counting And Probability
Section9.3: Binomial Probability
Problem 2E: If a binomial experiment has probability p success, then the probability of failure is...
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Parts a-d please
1. For all experiments below, which probability distribution would be appropriate for each
situation?
(a) The probability of seeing no 4's in 8 rolls of a standard die:
(b) The probability of passing an exam is 80% and failing an exam is 20%. A student want
to model the probability that they pass the exam.
(c) Suppose there are 10 multiple choice questions on an exam. A student wants to model
the probability of them receiving a score of 80% or higher.
(d) Suppose that a researcher wants to model the average time it takes for people in Seattle
to commute to work.
Transcribed Image Text:1. For all experiments below, which probability distribution would be appropriate for each situation? (a) The probability of seeing no 4's in 8 rolls of a standard die: (b) The probability of passing an exam is 80% and failing an exam is 20%. A student want to model the probability that they pass the exam. (c) Suppose there are 10 multiple choice questions on an exam. A student wants to model the probability of them receiving a score of 80% or higher. (d) Suppose that a researcher wants to model the average time it takes for people in Seattle to commute to work.
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