Binomial Variable Scenarios Analysis

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.
Binomial Variable Scenarios Analysis

To determine if each scenario can be modeled by a binomial random variable, we need to consider the criteria for a binomial distribution:

  1. There are a fixed number of trials.
  2. Each trial has two possible outcomes (success or failure).
  3. The probability of success is constant for each trial.
  4. The trials are independent of each other.
Scenario 1: John’s Free-Throw Shots
  • Description: John is a 70% free-throw shooter. He decides to shoot 25 shots. We are interested in the number of successful shots.
  • Analysis:
    • Fixed number of trials: Yes, John shoots 25 shots…

To determine if each scenario can be modeled by a binomial random variable, we need to consider the criteria for a binomial distribution:

  1. There are a fixed number of trials.
  2. Each trial has two possible outcomes (success or failure).
  3. The probability of success is constant for each trial.
  4. The trials are independent of each other.
Scenario 1: John’s Free-Throw Shots
  • Description: John is a 70% free-throw shooter. He decides to shoot 25 shots. We are interested in the number of successful shots.
  • Analysis:
    • Fixed number of trials: Yes, John shoots 25 shots…

To determine if each scenario can be modeled by a binomial random variable, we need to consider the criteria for a binomial distribution:

  1. There are a fixed number of trials.
  2. Each trial has two possible outcomes (success or failure).
  3. The probability of success is constant for each trial.
  4. The trials are independent of each other. Binomial Variable Scenarios Analysis
Scenario 1: John’s Free-Throw Shots
  • Description: John is a 70% free-throw shooter. He decides to shoot 25 shots. We are interested in the number of successful shots.
  • Analysis:
    • Fixed number of trials: Yes, John shoots 25 shots…