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Binomial Distribution and Bernoulli Trials
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Binomial Distribution and Bernoulli Trials

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Questions and Answers

What is the condition for Bernoulli trials where the probability of success and failure remains constant?

  • There are more than two possible outcomes.
  • The experiment is not repeated.
  • The trials are dependent.
  • The probability of success and failure is constant for each trial. (correct)
  • What is the probability of failure in a Bernoulli trial?

  • p
  • q (correct)
  • 1 + p
  • 1 - q
  • What is the number of trials in a Binomial distribution?

  • x
  • r
  • n (correct)
  • p
  • What is the probability of getting exactly two people alive at age 65 years in the mortality example?

    <p>0.064</p> Signup and view all the answers

    What is the characteristic of a Binomial random variable?

    <p>Two outcomes: Success and Failure</p> Signup and view all the answers

    What is the name of the coefficient that represents choosing r from n without considering the order?

    <p>nCr</p> Signup and view all the answers

    Study Notes

    Binomial Coefficients

    • Binomial coefficients are the same as nCr, representing the number of ways to choose r items from a set of n items without considering the order.

    Bernoulli Trials

    • A Bernoulli trial is a repeated experiment that satisfies three conditions: • Each trial has two possible outcomes: Success (S) and Failure (F) • The trials are independent • The probability of Success (and Failure) is constant for each trial

    Binomial Distribution

    • A Binomial Distribution is the probability distribution for the number of successes in a sequence of Bernoulli trials
    • A Binomial Random Variable has: • n identical trials • Two outcomes: Success (S) and Failure (F) • Probability of Success: P(S) = p • Probability of Failure: P(F) = q = 1 – p • x is the number of Successes in n trials

    Binomial Distribution Question

    • Mortality example: • Probability of a 20-year-old person being alive at 65 years: 80% (p = 0.8, q = 0.2) • Find the probability that the number alive at 65 years will be:
      • Exactly two
      • At most one
      • At least one • Determine the probability distribution of the number alive at 65

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    Description

    Test your understanding of binomial distribution, binomial coefficients, and Bernoulli trials. Determine the value of each binomial coefficient and learn about the conditions of Bernoulli trials.

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