4.10 Introduction to the Binomial Distribution

    Cards (58)

    • In a binomial experiment, trials must be independent of each other.
    • What condition is not met when surveying students about their favorite color in a binomial setting?
      Binary outcomes
    • What are the two possible outcomes in a binomial trial typically labeled?
      Success or failure
    • The probability of failure in a binomial experiment is always (1-p).

      True
    • In a binomial experiment, each trial's outcome is independent of others.

      True
    • Each trial in a binomial experiment has only two outcomes: success or failure.
      True
    • Match the experiment with whether it meets binomial conditions:
      Flipping a coin 20 times and counting heads ↔️ Yes
      Surveying 100 people about their profession ↔️ No
    • Flipping a fair coin 5 times and getting exactly 3 heads has a probability of approximately 0.3125
    • Match the real-world application with an example:
      Quality Control ↔️ Finding defective items in a batch
      Marketing ↔️ Calculating customer purchase likelihood
      Medicine ↔️ Predicting patient cure rates
      Education ↔️ Analyzing exam passing probabilities
    • The binomial probability formula is expressed as P(X = x) = (n choose x) * p^x * (1 - p)^(n - x), where p represents the probability of success
    • In quality control, the binomial distribution is used to determine the probability of finding a certain number of defective items in a batch.
    • Match the binomial condition with its description:
      Binary ↔️ Two possible outcomes
      Independent ↔️ Outcome of one trial does not affect others
      Number of trials ↔️ Fixed and known in advance
      Success probability ↔️ Same for each trial
    • The success probability in a binomial setting must remain constant across all trials.

      True
    • In the binomial probability formula, what does 'n' represent?
      Number of trials
    • What does the binomial coefficient (n choose x) represent in the binomial probability formula?
      Number of ways to choose successes
    • In the binomial probability formula, n represents the total number of trials
    • The term (n choose x) in the binomial probability formula is called the binomial coefficient
    • The probability of getting exactly 3 heads in 5 coin flips is 31.25
    • In marketing, the binomial distribution is used to calculate the likelihood of a specific number of customers purchasing a product
    • What is the probability of finding exactly 2 defective light bulbs in a sample of 20, if 5% are historically defective?
      0.1886
    • How is the number of trials in a binomial experiment determined?
      Fixed in advance
    • The binomial distribution describes successes in a fixed number of independent trials.
    • The number of trials (n) in a binomial experiment must be fixed and known in advance.
    • The binomial distribution counts the number of successes in independent trials.
    • What must remain constant across all trials in a binomial experiment?
      Success probability
    • In a binomial experiment, the outcome of each trial is independent
    • Match the binomial formula symbol with its description:
      n ↔️ Total number of trials
      x ↔️ Number of successes desired
      p ↔️ Success probability
      (n choose x) ↔️ Number of ways to choose x successes
    • Arrange the steps for calculating binomial probabilities using the binomial probability formula:
      1️⃣ Identify the values of n, x, and p
      2️⃣ Calculate (n choose x)
      3️⃣ Compute p^x
      4️⃣ Compute (1-p)^(n-x)
      5️⃣ Multiply the results
    • If a factory produces light bulbs, and historically 5% are defective, the probability of finding exactly 2 defective bulbs in 20 is approximately 0.1886
    • The binomial distribution can be used in marketing to calculate the likelihood of customers purchasing a product based on historical conversion rates.
      True
    • In a binomial setting, each trial has only two possible outcomes: success or failure.
    • Rolling a fair six-sided die 10 times and counting the number of 3s meets the conditions for a binomial distribution.
    • In the binomial probability formula, 'x' represents the number of successes desired.
    • If you flip a fair coin 5 times and want to find the probability of getting exactly 3 heads, you would use the binomial probability formula with n = 5, x = 3, and p = 0.5.
    • What does x represent in the binomial probability formula?

      Number of successes desired
    • What is the probability of getting exactly 3 heads in 5 flips of a fair coin using the binomial probability formula?
      0.3125
    • In which fields is the binomial distribution used in real-world applications?
      Quality control, marketing, medicine, education
    • What is the binomial distribution used for in medicine?
      Predicting treatment success
    • What is the binomial distribution used to describe?
      Number of successes
    • The probability of success (p) must remain constant across all trials in a binomial experiment.
      True
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