Public learning track
Data Processing, Graphical Analysis, and Uncertainty
7th Grade · Science · Open Global Science
5 lessons
Goal
Process experimental data, construct linear and non-linear plots, calculate central tendencies, and quantify measurement uncertainty.
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Organizing Data in Structured Tables and Repeated Trials
5 lessons
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- 1Organizing Data in Structured Tables and Repeated TrialsUp nextStart
- 2Calculating Mean Values and Significant Figures in DataPremiumNot started yet
- 3Sources of Error and Significant Figures in MeasurementNot started yet
- 4Constructing and Interpreting Linear Scatter PlotsNot started yet
- 5Graphing Non-Linear Trends, Schematics, and Spatial MapsNot started yet
Standards Covered
- OGS.8.SEP.4Open Global Science Standards 2026™ · Science · Level 8 / Grade 7 (Age 12) · Grade 7Organize, process, and graphically represent experimental data using tables, linear and non-linear plots, schematics, and maps, accounting for measurement uncertainty, repeated trials, significant figures, and mean values.
- OGS.8.SEP.6Open Global Science Standards 2026™ · Science · Level 8 / Grade 7 (Age 12) · Grade 7Analyze empirical data and secondary literature to identify patterns, causal mechanisms, anomalies, and experimental errors, evaluating claims through evidence-based reasoning.
Curriculum Framework
7th Grade · Science · Open Global Science
1
5 lessons
Scientific Inquiry, Questions, Hypotheses, and Laws
Formulate testable scientific questions and engineering problems while distinguishing hypotheses, theories, and scientific laws.
2
5 lessons
Experimental Design, Variables, and Laboratory Safety
Plan and conduct controlled, comparative, and descriptive investigations adhering to rigorous laboratory safety practices.
3
5 lessons
SI Precision Measurement and Digital Data Acquisition
Collect high-precision quantitative SI data and systematic qualitative observations using analog and digital laboratory instruments.
4
5 lessons
Data Processing, Graphical Analysis, and Uncertainty
Process experimental data, construct linear and non-linear plots, calculate central tendencies, and quantify measurement uncertainty.
5
4 lessons
Scientific and Engineering Modeling
Develop, evaluate, and refine physical, conceptual, and mathematical models to explain systems and evaluate engineering designs.
6
4 lessons
Empirical Data Analysis and Error Evaluation
Analyze datasets and secondary literature to identify causal relationships, isolate anomalies, and evaluate scientific claims.
7
4 lessons
Crosscutting Concepts: Systems, Matter, and Energy
Apply crosscutting concepts such as structure and function, conservation of mass and energy, and dynamic equilibrium to explain natural systems.
8
5 lessons
Scientific Argumentation and Communication
Construct evidence-based arguments using the Claims-Evidence-Reasoning framework, cite sources, and engage in peer review.
9
4 lessons
Science in Society: History, Ethics, and STEM Careers
Evaluate the evolution of scientific knowledge over time, analyze ethical considerations in policy, and explore diverse STEM career pathways.