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P.10 Making Conclusions

Purpose of a Conclusion: A Comprehensive Study Guide

1. Definition and Relation to Hypothesis

Definition

  • A conclusion is a succinct summary of your experiment’s outcomes. It explains what your data indicates regarding your research question or hypothesis.
  • It distills the key findings into a clear statement that interprets the experimental results without introducing new information.

Relation to the Hypothesis

  • Direct Address:
    Your conclusion must clearly relate to the original hypothesis by stating whether the data supports, contradicts, or leaves the hypothesis inconclusive.
  • Objective Interpretation:
    Interpret your data objectively, using cautious language such as “the results suggest” or “the data are consistent with” to avoid overstatement.

2. Writing Effective Conclusions

Linking to Results

  • Data-Driven Summary:
    Base your conclusion on observable trends and patterns from your results. For example, if you find that higher rennin concentrations lead to shorter clotting times, state this clearly.
  • Example Statement:
    “The greater the concentration of rennin, the shorter the time taken to reach the end-point, indicating that increased rennin levels enhance the reaction rate.”

Hypothesis Testing

  • Support or Refute:
    Clearly indicate whether your experimental data supports the hypothesis. For instance, if your hypothesis is that increasing enzyme concentration accelerates reaction rate, then a statement like “Results support that higher enzyme concentrations shorten reaction times” is appropriate.
  • Avoid Absolute Claims:
    Instead of claiming the hypothesis is “proved,” use language such as “the data suggest” or “the findings are consistent with” to acknowledge experimental limitations.

3. Key Points for Writing a Conclusion

  • Be Specific:
    Directly state the observed trend or relationship.
    Example: “As enzyme concentration increases, the reaction time decreases.”
  • Avoid Certainty:
    Use phrases that indicate likelihood rather than certainty (e.g., “suggests” or “indicates”).
  • Clarity and Focus:
    Keep your conclusion concise and focused solely on your findings. Do not introduce new data or stray from the experiment’s main outcomes.

4. Example Conclusion Structure

Here are a few structured examples based on common hypotheses:

HypothesisConclusion Example
Increasing enzyme concentration increases reaction rate.“Results support that higher enzyme concentrations shorten reaction times, suggesting an increased reaction rate.”
Temperature affects enzyme activity.“The results suggest that higher temperatures accelerate enzyme activity up to an optimum point.”

This structure directly ties the observed data to the hypothesis, clearly stating the relationship between variables.


5. Practical Tips

  • Stay Objective:
    Base your conclusion strictly on the data collected. Avoid making generalizations beyond the scope of your experiment.
  • Review Your Results:
    Before writing your conclusion, summarize key trends or patterns to ensure your statement reflects your findings accurately.
  • Address Limitations:
    Briefly mention any limitations or potential sources of error that might influence the strength of your conclusion. This transparency enhances the credibility of your report.
  • Keep it Focused:
    Your conclusion should serve as the final interpretation of your findings—avoid introducing any new ideas or data.

6. Conclusion

A well-crafted conclusion is essential for effectively communicating your experimental findings. By summarizing your results in relation to your hypothesis, using clear and cautious language, and addressing any limitations, you provide a solid and objective end to your research report. This not only reinforces the validity of your experiment but also supports future investigations by offering a clear interpretation of your data.

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