Chemistry IA Exemplar: CuSO4 vs MnSO4 Catalysts for Na2S2O3 and FeCl3 | RevisionDojo
IB Chemistry SL Internal Assessment Exemplar
Which transition metal catalysts, Copper(II) Sulfate (CuSO4) and Manganese(II) Sulfate (MnSO4), will lower the activation energy (kJ/mol) most for the reaction between Sodium Thiosulfate (Na2S2O3) and Iron(III) Chloride (FeCl3), by measuring the time taken (s) for the reaction to complete and performing Arrhenius plotting analysis at different temperatures of 25°C, 30°C, 35°C, 40°C, and 45°C?
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Overall Score: 17/24
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Criteria A: Research Design
5/6
0
3
6
Criteria Strands
Excellent
Research question context
Excellent
Methodological considerations
Good
Methodology description
Criteria Feedback
Research question situated in a specific, well-justified chemical context (thiosulfate–iron clock reaction and Arrhenius theory).
Methodological considerations are fully explained with clear justifications for catalyst choice, temperature range and replicates.
Variables table, risk assessment and design details demonstrate comprehensive planning for relevant and sufficient data collection.
Procedure description has minor ambiguities (volume of “one drop”, timing protocol between water bath and reaction flask).
Controlled-variables table omits mention of calibration for measuring cylinders and pipette tolerance in uncertainty analysis.
Risk assessment should include use of fume hood when handling corrosive ferric chloride.
Criteria B: Data Analysis
4/6
0
3
6
Criteria Strands
Excellent
Communication of data recording and processing
Good
Consideration of uncertainties
Good
Data processing quality
Criteria Feedback
Data tables and Arrhenius plots are clearly labeled with units, uncertainties and statistical descriptors, demonstrating precise communication.
Uncertainties are propagated through to activation energy calculations, showing solid consideration of measurement error.
Data processing steps (averages, rates, ln k, regression) are logical and largely accurate.
Propagation of uncertainties omits some sources (thermometer calibration, regression-gradient error) and is sometimes oversimplified.
Minor numerical inconsistencies (e.g., intermediate Ea value for CuSO₄, unit typo for FeCl₃) reduce accuracy.
Formatting issues in formula presentation and table headings (units for reciprocal temperature, significant-figure consistency).
Criteria C: Conclusion
4/6
0
3
6
Criteria Strands
Good
Conclusion relevance and support
Moderate
Scientific context comparison
Criteria Feedback
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Criteria D: Evaluation
4/6
0
3
6
Criteria Strands
Good
Methodological weaknesses
Good
Suggested improvements
Criteria Feedback
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.
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