M213:BayesianReasoningandProbabilityTheory
Does being tall make you more likely to become a professional athlete? If you flip a coin and get tails three times in a row, are you less likely to get tails again? Outcomes in a scenario may differ depending on what has already happened — and probability gives us the tools to reason carefully about that.
In M213 Bayesian Reasoning and Probability Theory, you will:
• Explore how past events can affect the chances of future outcomes, and learn what it means for events to be independent
• Apply Bayes' Rule and use tools like two-way tables and tree diagrams to calculate probabilities and determine whether events are connected
• Use technology to simulate random events, estimate probabilities, and interpret results
Examples of careers that use M213 concepts: biology, health research, and risk management.
Associated Badges
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Learning Goals
Content & Practice Expectations
Each badge framework describes the mathematics skills and understandings that students will need to demonstrate to earn each badge through a set of Content & Practice Expectations (CPEs).
Alignment Guidance
Guidance for aligning badge standards (CPEs) to your existing curriculum and mathematical standards can be found in the documents shared below.
Assessments
Introduction to Badge Assessments
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Portfolio Resources
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Professional Learning Resources
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