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

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 portailsofad.com.

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)

Content:

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

Evaluation:

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