GCSE Geography Revision — Presenting Fieldwork Data: Tables, Charts & Conclusions
Revise Presenting Fieldwork Data: Tables, Charts & Conclusions for GCSE Geography with a topic explanation, worked example and common mistakes. Check the board notes for specification differences.
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What is Presenting Fieldwork Data: Tables, Charts & Conclusions?
After presenting your fieldwork data in tables and charts, the next step is to analyse what it shows and draw conclusions. Your analysis should describe the patterns in your data, using specific figures from your graphs to support your points. The conclusion should directly answer your initial hypothesis, stating whether you have proved or disproved it based on the evidence you have collected. Finally, you should evaluate your investigation, identifying any problems with your methodology and suggesting how it could be improved.
Board notes: Analysis, conclusion, and evaluation are the highest-level skills in a geographical enquiry and carry significant marks for all exam boards (AQA, Edexcel, OCR). A strong conclusion that is well-supported by evidence and a thoughtful evaluation are key differentiators for top grades.
Step-by-step explanationWorked examples
Worked example
Drawing a conclusion for an urban study: Hypothesis: 'Environmental quality decreases as you get closer to the factory'. Analysis: 'My located bar chart shows that the environmental quality score was lowest (-8) at the site closest to the factory and highest (+10) at the site furthest away. There is a clear positive correlation on my scatter graph between distance from the factory and environmental quality score.' Conclusion: 'Therefore, my data supports the hypothesis that environmental quality is lower closer to the factory.'
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Common mistakes
- 1Describing the graph without any analysis. Don't just list the results. You need to explain what they mean in the context of your investigation. For example, 'The bar chart shows that the 21-30 age group was the most common, which suggests the area attracts young professionals'.
- 2Stating a conclusion without evidence. You must refer back to your data presentation to justify your conclusion. For example, 'I can conclude that river velocity does increase downstream, as my results show the velocity increased from 0.2 m/s at Site 1 to 0.8 m/s at Site 5'.
- 3Being overly critical in the evaluation. While you should identify limitations (e.g., 'my sample size was small'), you should also be realistic. Suggesting you should have interviewed 1,000 people is not helpful. A better suggestion would be 'To improve reliability, I could have repeated the measurements on a different day'.
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Frequently asked questions
How do I write a good evaluation?
A good evaluation reflects on the whole investigation. Comment on the accuracy and reliability of your data collection methods, the validity of your results (did you actually measure what you set out to measure?), and any unexpected outcomes. Make specific, practical suggestions for improvement.
What does it mean to 'justify' your conclusion?
It means you must use evidence from your data to back up your final statement. Quote statistics, refer to patterns on your graphs, and link your findings directly to your original hypothesis. This shows that your conclusion is based on solid geographical evidence.