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IGCSE Physics Chapters 1 and 2

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    Measurements, speed, acceleration
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  • Give an example of a casual error.
    e.g. Fluctuations in measurements due to differences in observers reaction times.
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  • Can casual errors be eliminated?
    No, but they can be reduced by taking multiple measurements and averaging them.
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  • How do casual errors affect experimental results?
    They cause variations in repeated measurements, making results less precise.
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  • Do casual errors have a systematic pattern?
    No, they occur randomly and unpredictably.
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  • How are casual errors different from systematic errors?
    Systematic errors occur due to consistent faults in measurement tools or methods, while casual errors are random.
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  • If you measure an object’s length multiple times and get slightly different values, what type of error is this?
    A casual error.
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  • Why do casual errors occur in experiments?
    Due to slight variations in environmental conditions, human reaction time, and instrument limitations.
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  • How does casual error impact scientific experiments?;
    It affects the precision of measurements but does not necessarily bias the results.
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  • What is relative error?
    Relative error is the ratio of the absolute error to the actual measurement, usually expressed as a percentage.
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  • How do you calculate relative error?
    Relative Error = (Absolute Error / True Value) × 100%
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  • What is absolute error?
    Absolute error is the difference between the measured value and the true value.
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  • If the true value of an object’s length is 10 cm and the measured value is 9.8 cm, what is the absolute error?
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  • What does a high relative error indicate?
    It indicates a less precise measurement.
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  • How can you reduce relative error?
    Use more precise instruments and take repeated measurements.
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  • Why is relative error important in experiments?
    It helps to compare the accuracy of different measurements.
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  • What is a good relative error percentage in scientific experiments?;
    Typically, a relative error below 5% is considered acceptable.
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