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7. Probability

Probability is quantified by the likelihood of events occurring, represented on a scale from 0 to 1. Key concepts include experiments, trials, outcomes, and their relationships, along with classical and simple event probabilities. Complementary events further underscore the inverse relationship of event probabilities.

Sections

  • 7

    Probability

    This section introduces the concept of probability and its fundamental principles, including basic terms like outcomes and events.

    Learning Practice

  • 7.1

    Introduction To Probability

    This section introduces the concept of probability as a measure of how likely events are to occur, ranging from 0 (impossible) to 1 (certain).

    Learning Practice

  • 7.2

    Basic Terms

    This section introduces essential terms related to probability, including experimentation concepts and definitions crucial for understanding probability theory.

    Learning Practice

  • 7.3

    Classical (Theoretical) Probability

    This section explains classical probability, focusing on how to calculate the likelihood of an event occurring when all outcomes are equally likely.

    Learning Practice

  • 7.4

    Probability Of Simple Events

    This section introduces the concept of simple events in probability, explaining how to determine their likelihood.

    Learning Practice

  • 7.5

    Complementary Events

    Complementary events refer to the occurrence of an event and the occurrence of that event not happening, where the probabilities sum to 1.

    Learning Practice

References

m7.pdf

Class Notes

Memorization

What we have learnt

  • Probability measures the li...
  • Each experiment produces ou...
  • Classical probability assum...

Final Test

Revision Tests

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