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Practical Skills and Techniques

Variables, errors and risk in evaluating a method

  • 3 things to know
  • Component 3

Overview

Difference between accuracy and precision, saying that a measurement is valid and difference between a hazard and a risk.

What you need to know

Answer each one before you reveal it.

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Key term

How can a calorimetry method be improved when heat loss to the surroundings is the main source of error?

Key term

State the control measures used when a flammable organic liquid is heated.

Key term

State the control measures for working with a corrosive solution, and describe how a spill of concentrated acid on the bench is dealt with.

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    Identify the independent, dependent and control variables in an experiment measuring how rate depends on the concentration of one reactant.

    Model answer

    The independent variable is the concentration of that reactant, the dependent variable is the measured rate, and the control variables are the temperature, the total volume of the mixture and the concentrations of everything else present.

  2. 2

    Why must control variables be held constant rather than simply recorded?

    Model answer

    If more than one factor changes between runs, any difference in the result cannot be attributed to the factor being investigated, so the experiment cannot support a conclusion about it.

  3. 3

    Explain the difference between accuracy and precision.

    Model answer

    An accurate result is close to the true value, whereas a precise set of results is closely grouped together. A set of readings can be tightly grouped and still be well away from the true value.

  4. 4

    Distinguish random error from systematic error and give an example of each.

    Model answer

    A random error scatters readings either side of the true value, such as judging the exact moment an indicator changes, while a systematic error shifts every reading the same way, such as a balance that reads 0.02 g high before anything is placed on it.

  5. 5

    Why does repeating a measurement reduce a random error but not a systematic one?

    Model answer

    Random deviations fall on both sides of the true value so they average out as more readings are taken, whereas a systematic error is present to the same extent in every reading and survives the averaging unchanged.

  6. 6

    What should be done with a result that lies well away from the others in a set?

    Model answer

    It should be recorded, identified as anomalous, excluded from the mean, and if possible investigated and the measurement repeated, since it points to a mistake in that run rather than to ordinary scatter.

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