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Key Words
Variable: A part of the
experiment that you could change, e.g. the size of the beaker or the
amount of substance.
Dependent Variable: The
variable you will measure, e.g. change in temperature or the time
something takes. This variable is plotted on the vertical axis of a
graph.
Independent variable:
The variable you deliberately changed, e.g. concentration of acid or
size of current. This variable is plotted on the horizontal axis of the
graph.
Fair test: Changing
only 1 variable and keeping all the other variables the same. This means
you are only testing the effects of one variable, e.g. keep the volume
of water the same.
Precision: How accurate
the measuring device is, e.g. do the weighing scales go to 2 decimal
places? 12.6g is less precise than 12.57g or 82ºC is less accurate than
82.39ºC. Precision can be improved by using better equipment, or a
better range or scale.
Accuracy: How correctly
the operator reads the equipment. Saying it’s about a minute is not as
accurate as saying 62 seconds. You can improve accuracy by checking your
reading with someone else. Take care writing down your results in your
table, e.g. writing 3.62 instead of 3.26.
Reliability: This is
how sure you are that your data are correct. You can improve reliability
by repeating the experiment and taking an average of the results.
Anomalous results:
These are results that do not fit the pattern of all the other results.
Categoric Variable - Variable that arises though different things,
like different animals, e.g. woodlice, fleas, aphids.
Discrete variable - variable that goes up in whole numbers, like
number of passengers in a car. You can't have 1/2 a passenger.
Continuous variable - can have any value, e.g. 1.24, 2.0, etc.
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