Public learning track
Quantitative Data Analysis, Regression, and Error Evaluation
11th Grade · Science · Open Global Science
6 lessons
Goal
Analyze empirical datasets using linear regression, graphical modeling, error bars, and goodness-of-fit statistical metrics.
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Differentiating Random and Systematic Experimental Errors
6 lessons
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- 1Differentiating Random and Systematic Experimental ErrorsUp nextStart
- 2Statistical Dispersion: Mean, Variance, and Standard DeviationPremiumNot started yet
- 3Graphing Experimental Data with Error BarsNot started yet
- 4Linear Regression and Line of Best Fit EquationsNot started yet
- 5Physical Interpretation of Slopes, Intercepts, and Areas Under CurvesNot started yet
- 6Evaluating Goodness of Fit and Residual PlotsNot started yet
Curriculum Framework
11th Grade · Science · Open Global Science
1
5 lessons
Scientific Questioning, Hypotheses, and Experimental Design
Formulate testable hypotheses and construct rigorous controlled, comparative, and observational investigation designs.
2
6 lessons
Laboratory Instrumentation, Precision Measurement, and Uncertainty
Execute safe laboratory protocols, operate digital data logging interfaces, and calculate measurement uncertainty propagation.
3
6 lessons
Quantitative Data Analysis, Regression, and Error Evaluation
Analyze empirical datasets using linear regression, graphical modeling, error bars, and goodness-of-fit statistical metrics.
4
5 lessons
Epistemic Reasoning, Theories, Laws, and Scientific Argumentation
Differentiate hypotheses, laws, theories, and models while engaging in collaborative evidence-based argumentation and evaluating paradigm shifts.