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Tools and Inquiry — IB Physics skills

I.3.1 Concluding in Physics — IB Physics HL Revision Notes & Topical Questions

5 min read 9 parts Lesson 21 of 22 1 quiz

📚 IB Physics HL Hub / Topical Revision
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Curriculum Equation Key قوانين الرقم الهيدروجيني والاتزان الأيوني - pH & Acid-Base Equilibrium FormulasFast Exam Solution
pH = -log[H⁺] | pOH = -log[OH⁻] | pH + pOH = 14 | [H⁺][OH⁻] = 10⁻¹⁴
Word Equation & Conditions: الرقم الهيدروجيني = -لوغاريتم تركيز أيون الهيدروجين | pH + pOH = 14
Location & Specifications: الاتزان الأيوني، كيمياء 3 ثانوي، التحصيلي، و AP Chemistry.
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Lesson summary

I.3.1 Concluding in Physics — IB PHYSICS SL notes: Write a justified conclusion that answers the research question, compares with accepted values and discusses uncertainty.A brief, focused summary of the findings of the investigation.It answers the research question, based only o…

  • The conclusion must be justified by the data
  • Never introduce new ideas or explanations
  • A hypothesis that is not supported is still a valid finding
  • The propagated uncertainty sets the confidence in the result
  • Be concise and direct
  • Only conclude what the data shows

Part 1 of 7Purpose of a conclusion

Purpose of a conclusion
A brief, focused summary of the findings of the investigation.
It answers the research question, based only on evidence from the data analysis.
A strong conclusion relates findings to broader physical principles and accepted values.

Part 2 of 7Justifying the conclusion with data

Justifying the conclusion with data
The conclusion must be justified by the data
  • The conclusion must be justified by the data this is the most important rule.
Start with a direct answer to the research question.
Use the trend found in the interpretation to make a definitive statement.
Include key processed results as evidence.
  • A calculated constant such as g.
  • The gradient of the linearised graph.
  • An experimental material property such as resistivity.
Never introduce new ideas or explanations
  • Never introduce new ideas or explanations only summarise the analysis.

Part 3 of 7Link to the hypothesis

Link to the hypothesis
State clearly whether the results support or refute the hypothesis.
  • T2 directly proportional to L supports the pendulum hypothesis.
A hypothesis that is not supported is still a valid finding
  • A hypothesis that is not supported is still a valid finding it does not mean the experiment failed.
Reasons for the discrepancy belong in the evaluation.

Part 4 of 7Comparison with accepted values

Comparison with accepted values
Compare the result with a literature value from the data booklet, textbook or another reliable source.
Steps.
  1. State the literature value.
  2. Cite the source.
  3. Quantify the difference — usually as percentage error.
This allows a comment on accuracy.

Part 5 of 7Impact of uncertainty

Impact of uncertainty
The propagated uncertainty sets the confidence in the result
  • The propagated uncertainty sets the confidence in the result comment on its significance.
Compare percentage error with percentage uncertainty.
  • Error larger than uncertaintythe deviation is not just equipment limits, so significant systematic errors are likely.
  • Literature value inside the range of the result: the result is consistent with the accepted value (e.g. 9.8 ± 0.2 m s-2 against 9.81 m s-2).
Always give the final result with its uncertainty.

Part 6 of 7Writing style

1Be concise and direct
  • Be concise and direct a short paragraph, not an essay.
2Only conclude what the data shows
  • Only conclude what the data shows if data are inconclusive, say so.
3Quantify comparisons
  • Quantify comparisons calculate percentage error rather than saying "close".
4Relate to theory
  • Relate to theory e.g. a straight R against L graph through the origin agrees with R = ρL/A at constant ρ and A.

Part 7 of 7More from the specification

More from the specification
Chemical kinetics and reaction rate
  • Chemical kinetics and reaction rate tracking concentration changes over elapsed time provides empirical evidence to determine orders in chemical reaction.
Scientific Conclusions and Hypothesis Evaluation
  • A rigorous scientific conclusion evaluates whether experimental findings support the initial hypothesis;
    • for example, demonstrating that the electrical resistance of a metal wire is directly proportional to its length when the line of best fit passes through the origin.
Identifying Methodological Weaknesses and Realistic Improvements — Evaluating practical methodology requires identifying specific experimental weaknesses, assessing their impact on measured data (e.g. wire heating causing resistance drift),
  • and proposing realistic, quantifiable improvements.
    • (such as using a low-duty-cycle switch or heat sink)
Minimising Random and Systematic Uncertainties
  • Repeating trials and averaging measured values reduces the impact of random timing errors,
    • (such as timing 20 oscillations to determine the period of a pendulum)
  • while proper zeroing and calibration eliminate systematic offsets.
Simple pendulum
  • A small bob on a light string of length L
Linear relationship
  • Relationship that gives a straight-line graph, y = mx + c.
Length
  • Resistance is directly proportional to the length of a wire.
Improvement
  • Specific realistic change that fixes a weakness.
Random
  • Without a pattern in speed or direction.
Period
  • Time for one revolution.
Weakness
  • Part of the method causing significant error.
Resistance
  • Opposition to current, R = V / I, in ohms (Ω).
Oscillation
  • Repeated back-and-forth motion.
Random error
  • An unpredictable variation in readings, reduced by repeating and averaging.

Key terms

TermMeaning
ConclusionShort summary that answers the research question from the evidence.
Hypothesis supportedResults agree with the prediction.
Accepted valueReliable literature value used for comparison.
Percentage errorDifference from the accepted value as a percentage.
Percentage uncertaintyUncertainty as a percentage of the measured value.
ConsistentAccepted value lies within the experimental uncertainty.

Avoid these mistakes

1
Introducing new explanations in the conclusion.
2
Not stating whether the hypothesis is supported or refuted.
3
Claiming more than the data show.
4
Leaving out the uncertainty of the final result.
5
Saying a value is "close" without calculating percentage error.

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