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Understanding Probability: From Dice Rolls to Real-World Situations(Part 2)

  • Conditional probability and Bayes’ Theorem are powerful tools in probability theory.
  • Conditional probability measures the likelihood of an event given that another event has already occurred.
  • Bayes’ Theorem allows us to infer causes from observed effects.
  • Bayes’ Theorem is widely applied in various real-world scenarios such as medical testing and spam filtering.

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