How does zinc nitrate concentration (Zn (NO3)2), affect instantaneous cell potential (V) of a copper-zinc voltaic cell, according to the Nernst equation?
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Overall Score: 19/24
IB Grade: 6
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19/24
0
12
24
5.1·strength
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The risk assessment table is comprehensive and identifies key hazards; well done on linking prevention measures to each chemical.
5.2·weakness
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Environmental impact statements note toxicity but lack quantitative references for LC₅₀ or allowed discharge limits; include data for context.
Criteria A: Research Design
5/6
0
3
6
Criteria Strands
Excellent
Research question context
Good
Methodological considerations
Good
Methodology description
Criteria Feedback
Research question is precisely framed in the context of electrochemical energy storage and the Daniell cell.
Theoretical basis (Nernst equation) is correctly derived and each variable is defined.
Methodological considerations are described in sufficient detail, including pilot study design and control variables table.
Justification for concentration range and sample‐size choice is brief and could be expanded.
Some control variables (e.g., salt‐bridge composition) are asserted without rationale.
Minor ambiguities remain in dilution step volumes and electrode dimensions, which could hinder exact reproducibility.
Criteria B: Data Analysis
5/6
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 graphs are clearly labeled with appropriate units, significant figures, and uncertainties.
Uncertainty propagation is treated methodically, with correct use of partial derivatives for key variables.
Graphs include trendlines and R² values, effectively communicating the relationship between concentration and potential.
Some uncertainty assumptions (e.g., combining instrument error) are simplified and systematic errors are not fully quantified.
A few processing steps have minor transcription errors or excessive significant figures.
Error bars on theoretical data points are omitted, reducing completeness of uncertainty communication.
Criteria C: Conclusion
4/6
0
3
6
Criteria Strands
Good
Conclusion relevance and support
Good
Scientific context comparison
Criteria Feedback
Conclusion logically follows the data, citing the inverse logarithmic relationship and comparing experimental and theoretical gradients.
Links findings to the Nernst equation, Le Châtelier’s principle, and literature values, demonstrating scientific context.
Uses R² values and practical implications to support claims.
Does not discuss the statistical significance of R² (degrees of freedom or p‐values).
Minor narrative flow issues—key findings could be highlighted more prominently before detailed discussion.
Replicate‐trial limitations are not fully acknowledged in the conclusion.
Criteria D: Evaluation
5/6
0
3
6
Criteria Strands
Good
Methodological weaknesses
Good
Suggested improvements
Criteria Feedback
Identifies specific methodological weaknesses (e.g., serial‐dilution errors, junction potential) and links each to its impact on data.
Proposed improvements are realistic and directly target the identified limitations (e.g., independent standard solutions, ultrasonic cleaning).
Explanations clearly connect improvements to reduction of error sources.
Impact discussions are qualitative; quantitative estimates (e.g., mV ranges for junction potential) are missing.
Could further articulate the relative priority of suggested improvements.
Lacks numeric assessment of how proposed changes would reduce uncertainties.
Chemistry IA Exemplar: Zinc Nitrate Concentration and Cell Potential | RevisionDojo