MTH-5152-1 – Vote Distribution Models and Random Experiments

36,00 $


  • Learning Guide, 380 p. (8-8822-01)
  • Scored Activities (3), 44 p. (7-8822-07)
  • DIGITAL – Learning Guide, 380 p. (N-8822-01)

Vote Distribution Models and Random Experiments in a General Context course is the third in the Secondary V Cultural, Social and Technical Sequence. It aims to develop the learners' ability to handle situations that require processing of data from a random experiment. 

This learning guide has several digital components on

The SOLUTIONS learning approach is based on the acquisition of all the prescribed mathematical knowledge in a problem-solving context.

Duration: 25 hours (1 unit)

Different models of vote distribution:

  • majority rule
  • plurality voting
  • Borda count
  • Condorcet method
  • approval voting
  • runoff (or elimination) method
  • proportional representation

Learners will complete their learning by expanding knowledge about probability by addressing, for example:

  • counting
  • mutually exclusive events
  • conditional probability
  • the concept of chance
  • mathematical expectation

  • Passing mark for scored activities: 60%
  • Passing mark for certification examination: 60%

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