7A 4.1.2b

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What is percent error?

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Percent error is a measure of how inaccurate a measurement is, expressed as a percentage of the accepted value. It is calculated using the formula: Percent Error = |(Experimental Value - Accepted Value) / Accepted Value| x 100.

Tags

CCSS.6.RP.A.3C

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How can increasing the number of trials affect the accuracy of an experiment?

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Increasing the number of trials can lead to more reliable results by averaging out random errors, thus reducing the percent error.

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What is the purpose of conducting multiple trials in an experiment?

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The purpose of conducting multiple trials is to ensure that the results are consistent and to minimize the impact of random errors.

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What does it mean if an experiment has a high percent error?

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A high percent error indicates that the experimental results are significantly different from the accepted value, suggesting potential issues with the experiment's design or execution.

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What is a controlled variable in an experiment?

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A controlled variable is a factor that is kept constant throughout an experiment to ensure that the results are due to the independent variable.

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What is the difference between independent and dependent variables?

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The independent variable is the factor that is changed or manipulated in an experiment, while the dependent variable is the factor that is measured or observed.

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Why is it important to have a hypothesis in an experiment?

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A hypothesis provides a testable prediction that guides the direction of the experiment and helps in interpreting the results.

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What is the significance of the accepted value in an experiment?

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The accepted value is a standard or known value that is used for comparison to evaluate the accuracy of experimental results.

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How can random errors affect experimental results?

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Random errors can lead to variations in measurements that are unpredictable and can affect the reliability of the results.

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What is systematic error?

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Systematic error is a consistent, repeatable error that occurs due to a flaw in the measurement system or experimental design.