Mathematics of Data Management – MDM4U

$549.00

This Grade 12 university preparation course broadens students’ understanding of mathematics as it relates to managing data. Students study counting, probability, probability distributions, sampling, data collection and statistical analysis, and complete a culminating data-management investigation integrating the major concepts and skills of the course.

SKU: MDM4U Category:

Description

This Grade 12 university preparation course broadens students’ understanding of mathematics as it relates to managing data. Students study counting, probability, probability distributions, sampling, data collection and statistical analysis, and complete a culminating data-management investigation integrating the major concepts and skills of the course.

What You’ll Learn

  • Solve probability problems involving discrete sample spaces and combinations of events.
  • Apply permutations and combinations to counting and probability problems.
  • Represent and analyze discrete and continuous probability distributions, including the normal distribution.
  • Understand data variability, sampling techniques and principles of primary data collection.
  • Analyze one-variable and two-variable data using numerical, graphical and algebraic summaries.
  • Design, carry out, communicate and critique a culminating data-management investigation.

Skills You’ll Develop

  • Probability and counting techniques
  • Statistical reasoning and data analysis
  • Sampling and data collection
  • Spreadsheet, graphing and statistical-tool use
  • Research design, interpretation and communication

Learning Outcomes

  • Solve probability problems for discrete sample spaces using appropriate counting techniques.
  • Represent and analyze discrete probability distributions and expected values.
  • Analyze continuous distributions and apply the normal distribution to relevant problems.
  • Explain data variability, sampling techniques and principles of good data collection.
  • Analyze and interpret one-variable and two-variable data.
  • Evaluate uses and misuses of data in media, advertising and occupational contexts.
  • Design and complete a culminating investigation and communicate findings clearly.

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