Public learning track
Quantitative Data Analysis, Uncertainty, and Error Analysis
9th Grade · Science · Open Global Science
8 lessons
Goal
Organize experimental data, generate statistical visualizations, compute rates and uncertainty, and evaluate experimental errors.
Featured Diagrams
Structuring Raw and Processed Quantitative Data Tables
8 lessons
0 of 8 done
- 1Structuring Raw and Processed Quantitative Data TablesUp nextStart
- 2Constructing and Interpreting Scatter Plots and Frequency HistogramsPremiumNot started yet
- 3Determining Lines of Best Fit and Calculating SlopesNot started yet
- 4Calculating Rates of Change from Experimental CurvesNot started yet
- 5Statistical Measures: Mean, Standard Deviation, and PercentilesNot started yet
- 6Distinguishing Precision, Accuracy, Repeatability, and ReproducibilityNot started yet
- 7Evaluating Systematic Errors, Random Errors, and Instrumental LimitationsNot started yet
- 8Calculating Absolute and Percentage UncertaintyNot started yet
Curriculum Framework
9th Grade · Science · Open Global Science
1
8 lessons
Experimental Design, Hypothesis Generation, and Risk Assessment
Formulate testable scientific questions and hypotheses, design controlled and comparative investigations, and systematically evaluate experimental risks.
2
9 lessons
Precision Measurement, Laboratory Instrumentation, and SI Metrology
Operate laboratory instruments with precision, calibrate digital sensors, and record measurements using SI units, standard form, and significant figures.
3
8 lessons
Quantitative Data Analysis, Uncertainty, and Error Analysis
Organize experimental data, generate statistical visualizations, compute rates and uncertainty, and evaluate experimental errors.
4
7 lessons
Scientific Modeling, Computational Simulations, and Epistemology
Build, evaluate, and refine physical, conceptual, computational, and mathematical models and distinguish between scientific theories, laws, and hypotheses.
5
7 lessons
Evidence-Based Argumentation, Ethics, and Science in Society
Construct evidence-based arguments, evaluate peer review and scientific consensus, and assess the ethical, sociocultural, and economic impacts of science.