Binomial distributions | Probabilities of probabilities, part 1

The video tutorial explores the challenge of choosing between sellers with different ratings by examining the confidence in data and applying probability concepts. It introduces Laplace's rule of succession to adjust ratings and discusses modeling success rates using binomial distribution. The tutorial sets the stage for further exploration of Bayesian updating and probability density functions in subsequent videos.

In what ways can the assumptions about seller ratings affect your decision-making process?

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What does it mean to have uncertainty about the long-run frequency in the context of seller ratings?

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How would you compute the probability of seeing a specific number of positive reviews given a known success rate?

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What role does Bayes' rule play in determining the probability of a good experience with a seller?

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