Practical Skill: Controlling Variables & Calculating Uncertainty (AQA A Level Biology)

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Lára Marie McIvor

Written by: Lára Marie McIvor

Reviewed by: Lucy Kirkham

Practical Skill: Control of Variables & Uncertainty

  • Enzyme rate experiments are experiments that are carried out to determine the effect of changing a particular factor on the rate of a reaction that is catalysed by an enzyme

  • Factors that can be changed include:

    • Temperature

    • pH

    • Enzyme concentration

    • Substrate concentration

  • The key thing with enzyme rate experiments is to ensure that only one of these variables is changed during a particular experiment

    • This is known as the independent variable

  • All other variables must be controlled (they must stay the same)

    • These are known as the control variables

  • For example, if investigating the effect of temperature on the rate of reaction, the pH, enzyme concentration and substrate concentration must be exactly the same (kept constant) each time you run the experiment (at each different temperature you are investigating)

  • If these control variables are not kept constant, they could affect the results of the experiment

    • This would make the results unreliable

Uncertainty

  • Uncertainty is the amount of error your measurements might contain

  • Results from experiments (including enzyme rate experiments) always contain some error (they are never perfect)

  • There will always be a small degree of uncertainty in your readings or measurements

    • This is often because the sensitivity of the apparatus being used is limited

  • For example, you may want to measure reaction rate by measuring how much of a product is made in a given time period, e.g. using a gas syringe to measure the volume of oxygen produced from the breakdown of hydrogen peroxide by catalase

    • The gas syringe may give readings to the nearest 1 cm3

    • However, the real volume produced could be up to 0.5 cm3 smaller or larger

      • E.g. if the syringe were to collect 4 cm3 of oxygen, then the true value for the volume of oxygen would lie somewhere between 3.5 cm3 and 4.5 cm3

    • The syringe has an uncertainty of ± 0.5 cm3

      • A ‘±’ sign tells you the range in which the true value lies; this range is called the margin of error

      • E.g. for the example above, the syringe can be said to have measured 4 ± 0.5 cm3

  • For enzyme rate experiments, you may need to calculate the percentage error of your measurements

    • As long as you know the uncertainty value of your measurements, the percentage error can be calculated using the following formula

percentage error = (uncertainty ÷ measured value) x 100

Worked Example

In an enzyme-controlled reaction involving the breakdown of hydrogen peroxide by catalase, 50 cm3 of oxygen was produced, with an uncertainty value of 0.5 cm3. Calculate the percentage error of this measurement.

Percentage error = (uncertainty ÷ measured value) x 100

Percentage error = (0.5 ÷ 50) x 100

Percentage error = 0.01 x 100

Percentage error = 1 %

Worked Example

In an enzyme rate experiment involving the breakdown of hydrogen peroxide by catalase, a student recorded that 10 cm3 of oxygen was produced in 5.245 seconds. The student measured this using a stopwatch that counted in milliseconds. Calculate the percentage error of the stopwatch measurements.

Step 1: Calculate the uncertainty value

The stopwatch can measure to the nearest millisecond (0.001 second)

This means the actual time taken could be up to 0.0005 seconds shorter or longer than this

This means stopwatch measurements have an uncertainty of ± 0.0005 s

Step 2: Calculate the percentage error of the student’s measurement of 5.245 seconds

Percentage error = (uncertainty ÷ measured value) x 100

Percentage error = (0.0005 ÷ 5.245) x 100

Percentage error = 0.000095 x 100

Percentage error = 0.0095 % or 0.01 %

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Lára Marie McIvor

Author: Lára Marie McIvor

Expertise: Biology Lead

Lára graduated from Oxford University in Biological Sciences and has now been a science tutor working in the UK for several years. Lára has a particular interest in the area of infectious disease and epidemiology, and enjoys creating original educational materials that develop confidence and facilitate learning.

Lucy Kirkham

Author: Lucy Kirkham

Expertise: Head of STEM

Lucy has been a passionate Maths teacher for over 12 years, teaching maths across the UK and abroad helping to engage, interest and develop confidence in the subject at all levels.Working as a Head of Department and then Director of Maths, Lucy has advised schools and academy trusts in both Scotland and the East Midlands, where her role was to support and coach teachers to improve Maths teaching for all.