Give an example of an event in a random experiment and define its complement. What is the difference between discrete and continuous random variables? Include a real-world example in your answer that illustrates the difference between discrete and continuous random variables. Which of the following may be modeled by a binomial random variable? If the binomial random variable is not appropriate, give a reason why. John is a 70% free-throw shooter. He decides to shoot 25 shots. We are interested in the number of successful shots. Assume the outcome on each shot is independent of all other shots. Margie is not very good at throwing darts. She is successful at hitting the bull’s eye about 30% of the time. We are interested in the number of throws it takes for h

College Algebra
10th Edition
ISBN:9781337282291
Author:Ron Larson
Publisher:Ron Larson
Chapter8: Sequences, Series,and Probability
Section8.7: Probability
Problem 50E: Flexible Work Hours In a recent survey, people were asked whether they would prefer to work flexible...
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  1. Give an example of an event in a random experiment and define its complement.
  2. What is the difference between discrete and continuous random variables?
  3. Include a real-world example in your answer that illustrates the difference between discrete and continuous random variables.
  4. Which of the following may be modeled by a binomial random variable? If the binomial random variable is not appropriate, give a reason why.
    • John is a 70% free-throw shooter. He decides to shoot 25 shots. We are interested in the number of successful shots. Assume the outcome on each shot is independent of all other shots.
    • Margie is not very good at throwing darts. She is successful at hitting the bull’s eye about 30% of the time. We are interested in the number of throws it takes for her to hit the bull’s eye 10 times.
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