Fair Testing
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FAIR TESTING is the investigation approach that finds relationships between factors (VARIABLES). A single variable is changed (called the INDEPENDENT VARIABLE), and another variable is measured (called the DEPENDENT VARIABLE). Meanwhile, other variables must be kept the same (called CONTROL VARIABLE). This is so that the results can be used to make comparisons, and any differences are said to be the result of the changed / independent variable.Â
For example, if a capful of one washing powder cleans a load of clothes, how do we know whether it is better or worse than other washing powders?
The key to fair testing is: keep as many of the things that can vary, the same for each test.Â
Say, for example, you are comparing washing powders. You would want to test different powders with loads of clothes that were:
the same size
equally dirty
washed for the same length of time
washed at the same temperature
washed using the same amounts of powder
The only variable would be the product you are testing, which is the brand of the washing powder (e.g. Persil vs. Ecostore)
This would determine which powder cleaned best for the same amount used. However, it would not take price into account. A product which is 'not as good' could be cheaper than a 'better' one. So, in another sense the cheaper product could still be best.Â
Experiments often include seeing the effect of a change. To do a fair test, you need to set up:Â
one experiment in normal conditions called a control
one or more experiments with one factor changed in each.Â
When testing washing powders, the control could be a wash with no washing powder to compare with the other results.Â
Fair testing is most easily suited to technology investigations, for example, "Which paper towel can soak up the greatest volume of water?", and physical sciences, for example, "Will the reaction go faster if a more concentrated acid is used?"Â
Fair testing is particularly well-suited to investigations that record measurements.Â
This method will not work well where investigations:Â
need to be done in the field
are monitoring change over time
need to examine a whole system, not just isolated parts.
Careful planning is required to ensure a fair test is carried out and the results are valid. The steps required when planning an investigation include:
An aim gives the purpose of the investigation. It is very important that you know exactly what you are trying to find out. A hypothesis is a testable prediction or educated guess as to the outcome, and is based on what you already know.Â
Knowing what all the variables are and controlling them (where possible) is important if observations and measurements are to be accurate and valid.Â
The independent variable is the one you change deliberately to see the effect it has, e.g. the force used to push the trolley.Â
The dependent variable is what you measure or observe and depends on the independent variable, e.g. the time the trolley takes to travel 1 metre (from this you can then calculate the trolley's speed). Any other variables that may affect the results need to be kept the same, e.g. the trolley used, the surface it is pushed on, the distance over which it is timed, how the trolley is pushed, what is used to time the journey.Â
A control is often used in biological investigations. The control differs from the experimental part of the investigation in only one way and that is the variable being tested. The control and experiment are compared to each other, e.g. starch testing leaves from a plant growing in the sun (control) and one grown in the dark (experiment).Â
Make a list of everything needed to carry out the investigation. Know how to use all the equipment correctly and how to collect data accurately.Â
Write a method as a series of short steps that follow a logical order so another person could follow them and get the same results as you did. Underline key words to draw attention to important instructions. Include labelled diagrams if they help clarify what to do. You could do a trial run, to pick up any glitches and make corrections before the actual investigation.Â
To try to ensure that the results of an experiment are valid, the experiment must be:
A fair test - during a fair test, all the things that can vary, such as the equipment used, or the temperature at which the experiment is carried out, are kept the same - except for the one thing that is being investigated by the experiment (independent variable).Â
Reliable - a reliable test or experiment always gives the same results. The experimental procedure should be repeated at leeast once to check that it produces the same results as the previous experiment.Â
Example - An experiment was carried out to decide if sea water has greater mass than fresh water. The procedure is shown in the diagram below.Â
Independent variable (variable changed)
Type of water used - sea water or fresh water.Â
Control variables (variables kept the same)
The volume of water used
The temperature of both types of water
The containers sed to weigh the water samples
The electronic balance used to weigh the water samples
This is a fair test because only one variable was changed, allowing a fair comparison of the mass of the two types of water.Â
Control experiments: These are done to find a baseline set of results to which others can be compared.Â
Independent variable: The variable that is changed during an experiments.Â
Dependent variable: The variable that is measured or observed during an experiment; it changes as a result of varying the independent variable.Â
Control variables: These are factors that need to be kept constant in an experiment for the test to be fair.Â