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Scientific Method, Investigation, Analysis and Evaluation

Experimental error, scientific writing and evaluation

  • 3 things to know
  • A2 1

Overview

Random and systematic error, precision and accuracy, repeatability, reproducibility and reliability, percentage uncertainty and error, results tables, anomalies, error bars, conclusions, evaluation and report writing.

What you need to know

Answer each one before you reveal it.

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Key term

How do random and systematic errors differ, and how can each be reduced?

Key term

What is the difference between random and systematic error?

Key term

How can random errors and systematic errors be reduced?

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    What is the difference between random and systematic error?

    Model answer

    Random errors scatter readings unpredictably on either side of the true value. Systematic errors shift every reading by the same amount or proportion in one direction.

  2. 2

    How can random errors and systematic errors be reduced?

    Model answer

    Random errors are reduced by taking repeats and calculating a mean. Systematic errors are not reduced by repeating and need recalibration or a corrected method.

  3. 3

    A balance reads 0.02 g with nothing on the pan. What type of error is this, and how is it dealt with?

    Model answer

    The reading is a zero error, which is a type of systematic error. The balance should be tared, or 0.02 g subtracted from every reading.

  4. 4

    How can a set of results be precise but not accurate?

    Model answer

    Results are precise when repeats agree closely with each other. The results are still inaccurate if a systematic error shifts them all away from the true value.

  5. 5

    What is the difference between repeatability and reproducibility?

    Model answer

    Results are repeatable when the same person, method and equipment give similar values. Results are reproducible when a different person, laboratory or method obtains similar values.

  6. 6

    What does it mean for a set of results to be reliable?

    Model answer

    Reliable results are consistent when the investigation is repeated. Close agreement between repeats and a small standard deviation indicate that results are reliable.

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