Chemistry IA Exemplar: Sugar Concentration and Carbonated Water… | RevisionDojo
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IB Chemistry SL Internal Assessment Example
The effect of changing the sugar concentration (25%, 17%, 13%, 8%, 4%, 0%) on the pressure of carbonated water.SL
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5
Official IB Result
16/24
General feedback
16/24
0
12
24
No overall summary is available for this report.
5.1·Weakness
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Procedure numbering is inconsistent (two steps labelled “2.”). Revise list structure to avoid confusion during reproduction.
5.2·Strength
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Strong use of multiple trials improves data reliability and demonstrates rigorous approach to addressing experimental variability.
Criteria A: Research Design
6/6
0
3
6
Criteria Strands
A.1Research question context
Excellent
A.2Methodological considerations
Good
A.3Methodology description
Good
Criteria Feedback
Research question framed in a specific, authentic context linking soda consumption statistics to chemical equilibrium.
Explicit connection of relevant theory (Henry’s law, crowding, Le Chatelier) to chosen variables.
Comprehensive identification of independent, dependent and controlled variables with rationale.
Methodology is detailed enough to allow full reproduction with clear procedures, equipment lists and calculations.
No citation of industry pressures to strengthen commercial relevance.
Justification for choice of 40 °C bath and 5 min collection time is only stated, not fully explained.
Materials list omits grade/purity of reagents and supplier details.
Procedural ambiguity around simultaneous sensor use and cork insertion timing remains.
1.1·Suggestion
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The topic statement provides a clear focus but would benefit from a citation or industry context to justify the relevance in commercial quality control of carbonated beverages.
1.2·Suggestion
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The context statistic is well cited, but you should explicitly link the 1-in-5 consumption to the significance of fizziness in consumer perception.
1.3·Weakness
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The chemical equation is correct, but you should explain how pressure measurement relates quantitatively to the equilibrium shown.
1.4·Weakness
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The informal personal reflection distracts from academic tone. Consider rephrasing to emphasize scientific motivations rather than childhood fascination.
1.5·Weakness
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The hypothesis description ends abruptly and lacks a clear statement of the expected direction for pressure change. Complete the sentence and link to measurable parameters.
1.6·Strength
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The research question is stated clearly within the context of your variables and concentrations, providing a focused investigable aim.
1.7·Weakness
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The controlled-variable rationale for sugar solution concentration is incomplete. Explain how the 2:1 protocol ensures precise percent values.
1.8·Weakness
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Uncertainty for the independent variable is stated, but justification of ±0.05 mL error must reference measurement technique limitations.
1.9·Suggestion
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Materials list is complete but missing grade or purity of sugar and carbonated water. Including supplier details would improve reproducibility.
1.10·Suggestion
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The choice of a 40 °C bath is reasonable but lacks justification. Explain why this temperature was selected relative to room temperature solubility.
1.11·Suggestion
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Simultaneous use of three sensors enhances efficiency but introduces timing ambiguity. Describe how cork insertion timing was standardized.
Criteria B: Data Analysis
4/6
0
3
6
Criteria Strands
B.1Communication of data recording and processing
Good
B.2Consideration of uncertainties
Moderate
B.3Data processing quality
Good
Criteria Feedback
Data tables are clearly structured with units, uncertainties and triplicate trials.
A well-labelled scatter graph with trendline and R² is provided.
Averaging of triplicate rates and calculation of uncertainties are correctly executed.
Data processing is internally consistent and mostly accurate.
Inconsistent significant figures and a typographical error in concentration labels reduce precision.
Propagation of the ±4 kPa sensor error into rate uncertainties is omitted.
Formatting inconsistencies (e.g. notation in mixture-preparation table) affect clarity.
Error bars are not included to display uncertainties on the graph.
2.1·Weakness
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The mixture-preparation table is clear but uses inconsistent notation (e.g., “|3.0”). Use uniform formatting for all volumes.
2.2·Weakness
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A typo lists 14.17 % instead of 4.17 %. Correcting concentration labels is critical for accurate interpretation.
2.3·Question
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Outlier in the 0 % trial (0.06034 kPa/s) is substantially higher. Discuss whether this reflects experimental variability.
2.4·Weakness
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Percentage uncertainties show inconsistent significant figures (e.g., 6.38 % vs. 20.08 %). Align with standard rules for sig. figs.
2.5·Weakness
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Uncertainty propagation is described for spread but neglects sensor error contribution to rate. Incorporate ±4 kPa into rate uncertainty calculation.
2.6·Suggestion
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Graph is well labeled but would benefit from error bars to represent uncertainties in rate measurements.
Criteria C: Conclusion
3/6
0
3
6
Criteria Strands
C.1Conclusion relevance and support
Moderate
C.2Scientific context comparison
Moderate
Criteria Feedback
Conclusion explicitly links the observed trend (rate decrease with sugar concentration) to the plotted data.
Scientific theory (crowding, viscosity, Henry’s law) is referenced to rationalize results.
Contradictory statements about hypothesis support undermine consistency.
No quantitative comparison to literature or models limits scientific context depth.
3.1·Weakness
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The conclusion text contains contradictory statements about hypothesis support. Ensure consistency between hypothesis and final claims.
3.2·Weakness
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The conclusion claims linear increase in solubility despite R² = 0.65. This overstates the trend; revise to reflect correlation strength.
Criteria D: Evaluation
3/6
0
3
6
Criteria Strands
D.1Methodological weaknesses
Moderate
D.2Suggested improvements
Poor
Criteria Feedback
Identifies specific methodological weaknesses (bubbles, parallax error, timing inconsistencies).
Suggests realistic improvements to maintain constant conditions and address timing and bubble issues.
Does not rank the relative impact of each limitation.
Suggestions lack detailed explanation of how they would mitigate the identified weaknesses.
Evaluation remains qualitative without assessing the magnitude or direction of each error’s effect.
4.1·Suggestion
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Methodological weaknesses are identified but not ranked by impact. Discuss which limitation most influenced your results.
4.2·Suggestion
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The evaluation describes errors but does not link how proposed improvements would mitigate each. Provide a clear plan for addressing measurement timing and bubble issues.