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* '''Statistical Reasoning''': Understanding probability, correlation vs. causation, sampling error, and confidence intervals to interpret research and surveys.
 
* '''Statistical Reasoning''': Understanding probability, correlation vs. causation, sampling error, and confidence intervals to interpret research and surveys.
 
* '''Mathematical Modeling''': Translating real-world systems into algebraic or computational frameworks to simulate scenarios and test assumptions.
 
* '''Mathematical Modeling''': Translating real-world systems into algebraic or computational frameworks to simulate scenarios and test assumptions.
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* '''Risk and Expected Value Analysis''': Quantifying uncertainty, weighing trade-offs, and making decisions with incomplete or [[Probability|probabilistic]] information.
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* '''Risk and Expected Value Analysis''': Quantifying uncertainty, weighing trade-offs, and making decisions with incomplete or [[Probability|probabilistic]] information. See also: [[Risk]] and [[Risk management]]
 
* '''Data Literacy''': Cleaning, interpreting, and visualizing datasets while identifying bias, outliers, scale manipulation, and misleading representations.
 
* '''Data Literacy''': Cleaning, interpreting, and visualizing datasets while identifying bias, outliers, scale manipulation, and misleading representations.
 
* '''Optimization and Algorithmic Thinking''': Applying constraints, logical sequencing, and efficiency metrics to solve multi-step resource or workflow problems.
 
* '''Optimization and Algorithmic Thinking''': Applying constraints, logical sequencing, and efficiency metrics to solve multi-step resource or workflow problems.
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