9700
Biology 2025 · May/June · Paper 52
This CAIE A Level Biology Paper 52 is a practical-focused, data-handling paper that centres on experimental biology, especially enzyme investigations, microscopy, transport, and other core A Level practical skills. From the sample questions, students can expect structured questions that ask them to explain methods, identify variables and sources of error, interpret graphs and tables, make calculations such as rates or percentage changes, and suggest improvements to experimental design; questions may also require concise scientific explanations using correct terminology.…
Questions & Model Answers 18 Qs
Paper Details
| Board | CAIE |
| Level | A Level |
| Subject | Biology |
| Code | 9700 |
| Year | 2025 |
| Session | May/June |
| Paper No. | Paper 52 |
| Total Marks | 30 |
| Q&A | 18 questions |
- Read each question carefully before answering
- Allocate time based on marks (≈1 min/mark)
- Attempt all questions — partial marks count
Biology 2025 · May/June · Paper 52
9700 This CAIE A Level Biology Paper 52 is a practical-focused, data-handling paper that centres on experimental biology, especially enzyme investigations, microscopy, transport, and other core A Level practical skills. From the sample questions, students can expect structured questions that ask them to explain methods, identify variables and sources of error, interpret graphs and tables, make calculations such as rates or percentage changes, and suggest improvements to experimental design; questions may also require concise scientific explanations using correct terminology. The paper is moderately demanding because it tests not just factual recall, but also application of knowledge to unfamiliar practical contexts, analysis of results, evaluation of methods, and accurate use of units and graph-reading skills.
To prepare well, revise the practical techniques in the syllabus thoroughly, practise interpreting enzyme graphs and colorimeter data, and make sure you can explain controls, standardisation, reliability, and validity in experiments. It is also worth rehearsing common calculation types, learning how to write clear step-by-step methods, and practising past-paper questions under timed conditions so you become confident at handling unfamiliar experimental scenarios quickly and accurately.