
Public learning track
Errors, Accuracy, Precision and Reproducibility
10th Grade · Science · UK GCSE
10 lessons
Goal
Evaluate scientific data in terms of accuracy, precision, repeatability, and reproducibility, identifying random and systematic errors.
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Accuracy, Precision and Sources of Error in Measurements
10 lessons
0 of 10 done
- 1Accuracy, Precision and Sources of Error in MeasurementsUp nextStart
- 2Distinguishing Repeatability from ReproducibilityPremiumNot started yet
- 3Identifying and Minimising Random ErrorsNot started yet
- 4Identifying and Correcting Systematic and Zero ErrorsNot started yet
- 5Identifying Sources of Error in InvestigationsNot started yet
- 6Detecting and Handling Anomalous Data PointsNot started yet
- 7Evaluating the Validity of Experimental DataNot started yet
- 8Distinguishing Human Blunder from True Experimental ErrorNot started yet
- 9Evaluating Heat Loss Errors in Calorimetry InvestigationsNot started yet
- 10Exam-Style Data Evaluation and Error IdentificationNot started yet
Standards Covered
- UK-GCSE-SCIENCE-WS-3General Certificate of Secondary Education (GCSE) · Science · Year 11 (GCSE) · Grade 10Analysis and evaluation
- UK-GCSE-SCIENCE-WS-3-01General Certificate of Secondary Education (GCSE) · Science · Year 11 (GCSE) · Grade 10Apply the cycle of collecting, presenting and analysing data, including:
- UK-GCSE-SCIENCE-WS-3-01-07General Certificate of Secondary Education (GCSE) · Science · Year 11 (GCSE) · Grade 10being objective, evaluating data in terms of accuracy, precision, repeatability and reproducibility and identifying potential sources of random and systematic error
Curriculum Framework
10th Grade · Science · UK GCSE
1
10 lessons
Scientific Models and How Theories Develop
Explain how scientific evidence shapes theories and use representational, mathematical, and computational models to describe phenomena.
2
10 lessons
Science in Society, Ethics and Decision Making
Evaluate the technological, environmental, economic, and ethical dimensions of scientific developments to make evidence-based decisions.
3
10 lessons
Risk Evaluation, Hazards and Scientific Peer Review
Evaluate physical and societal risks, distinguish hazard from risk, and explain the peer-review process in scientific validation.
4
10 lessons
Formulating Hypotheses and Experimental Design
Translate scientific concepts into testable hypotheses and design controlled experiments with clear variable controls.
5
10 lessons
Laboratory Apparatus, Precision Tools and Safe Handling
Select appropriate lab equipment, manipulate apparatus with precision, and apply rigorous health and safety protocols.
6
10 lessons
Scientific Sampling, Fieldwork and Representativeness
Apply sampling techniques to obtain representative datasets and minimise sampling bias in field and laboratory settings.
7
10 lessons
Making and Recording Observations and Measurements
Record quantitative measurements and qualitative observations accurately with correct units, prefixes, and resolution.
8
10 lessons
Presenting Data in Tables, Charts and Diagrams
Select and construct appropriate visual representations including tables, bar charts, histograms, and scatter plots.
9
10 lessons
Translating Data Between Tables, Graphs and Equations
Translate data seamlessly between tabular, graphical, verbal, symbolic, and algebraic formats.
10
11 lessons
Statistical and Mathematical Analysis in Science
Perform statistical calculations, process means, calculate rates of change, and evaluate ratios in scientific contexts.
11
10 lessons
Estimating Uncertainty, Range and Result Distributions
Quantify measurement uncertainty, calculate absolute and percentage uncertainties, and interpret error distributions.
12
10 lessons
Identifying Patterns, Trends and Inferences
Interpret complex scientific data, identify trends, distinguish correlation from causation, and draw evidence-based conclusions.
13
10 lessons
Hypothesis Evaluation and Scientific Explanations
Relate experimental findings back to original hypotheses and construct reasoned scientific explanations.
14
10 lessons
Errors, Accuracy, Precision and Reproducibility
Evaluate scientific data in terms of accuracy, precision, repeatability, and reproducibility, identifying random and systematic errors.
15
10 lessons
Evaluating Methods and Designing Improvements
Critique experimental methods, identify weaknesses in experimental control, and propose concrete improvements and extensions.
16
10 lessons
Scientific Rationale, Formal Reporting and Presentations
Communicate investigations, methods, findings, and conclusions clearly using appropriate scientific conventions and terminology.
17
10 lessons
Working Scientifically in Biology and Chemistry Practicals
Apply experimental design, measurement techniques, and error analysis across GCSE Biology and Chemistry core practicals.
18
10 lessons
Working Scientifically in Physics and Synoptic Investigations
Apply experimental design, quantitative measurement, and critical evaluation across GCSE Physics practicals and synoptic exam tasks.
19
8 lessons
Scientific Vocabulary, Quantities, Units and Nomenclature
Apply correct scientific terminology, understand fundamental and derived quantities, and use standard SI units and IUPAC chemical nomenclature across biology, chemistry and physics.
20
8 lessons
SI Prefixes, Powers of Ten and Unit Conversions
Work fluently with SI unit prefixes, standard form, powers of ten orders of magnitude, and multi-step metric and compound unit conversions.
21
8 lessons
Significant Figures, Rounding and Mathematical Rigour in Science
Determine appropriate significant figures, apply precision rules across scientific calculations, avoid premature rounding, and estimate answers critically.