Probability and Discrete Distributions · Statistics

Probability Laws and Counting

Using permutations, combinations, and conditional probability to solve complex counting problems.

Key Questions

  1. 1How does the concept of independence change our approach to calculating joint probabilities?
  2. 2Why is Bayes' Theorem essential for updating beliefs based on new evidence?
  3. 3In what scenarios is a combination more appropriate than a permutation?

MOE Syllabus Outcomes

MOE: Probability - JC2
Level: JC 2
Subject: Mathematics
Unit: Probability and Discrete Distributions
Period: Statistics

Suggested Methodologies

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More in Probability and Discrete Distributions

Binomial Distribution

Modeling scenarios with a fixed number of independent trials and two possible outcomes.

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Poisson Distribution

Modeling the number of events occurring within a fixed interval of time or space.

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