ProbabilityLesson 2 of 3 in the course Discrete Random Variables

Binomial Modeling and Frequency Comparisons for Repeated Card Draws

5 flashcards · 5 quiz questions · 5 match pairs · 5 fill-in sentences · English

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Summary

This lesson uses repeated card draws to connect an everyday experiment with a theoretical discrete probability distribution. You will compare theoretical probabilities with empirical results and technology-generated simulations, and interpret what probabilities mean over the long term.

A standard deck has 52 cards, including 13 diamonds. In each trial, one card is drawn, recorded as either a diamond or not a diamond, returned to the deck, and the deck is reshuffled. Returning the card makes the probability of a diamond the same on every draw and supports independence between trials.

All flashcards

What does XX count in an experiment of 10 draws with replacement from a standard deck?
The number of diamonds drawn in the 10 draws.
What conditions make a repeated-trial experiment suitable for a binomial model?
A fixed number of independent trials, two outcomes per trial, and the same success probability on every trial.
How is the relative frequency of exactly xx successes calculated across repeated experiments?
Divide the number of experiments with exactly xx successes by the total number of completed experiments: fx/mf_x/m.
What are the mean and standard deviation of a binomial random variable with parameters nn and pp?
The mean is npnp; the standard deviation is np(1−p)\sqrt{np(1-p)}.
How does a theoretical probability differ from a relative frequency in repeated experiments?
A theoretical probability is determined by the model; a relative frequency is calculated from observed or simulated results.

Quiz questions

  1. In 10 independent draws with replacement from a standard deck, let XX count the diamonds. Which binomial model describes XX?Answer: X∼B(10,1/4)X\sim B(10,1/4)
  2. Why does replacing and reshuffling each card keep successive draws independent?Answer: Each draw is made from the full deck, so earlier outcomes do not change later probabilities.
  3. For X∼B(10,1/4)X\sim B(10,1/4), what is the standard deviation, to four decimal places?Answer: 1.36931.3693
  4. For X∼B(10,1/4)X\sim B(10,1/4), which expression gives P(X=x)P(X=x)?Answer: (10x)(1/4)x(3/4)10−x\binom{10}{x}(1/4)^x(3/4)^{10-x}
  5. If the number of repetitions increases while a probability model stays the same, what remains unchanged?Answer: The model’s theoretical probability distribution

Based on Introductory Statistics 2e by Barbara Illowsky, Susan Dean (OpenStax), licensed CC BY 4.0. Adapted into a summary, flashcards and quizzes.

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