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20 Terms
1
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What is the formula for the *percentage uncertainty*?
percentage uncertainty = uncertainty (or spread) ÷ measured value all x100%
2
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Define *"systematic error"*
This is an error that is always the same for each repeat - usually because of an error in the equipment used
3
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Define *"random error"*
often caused by human error eg measurement in timing or misjudgement.
4
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Define *"zero error"*
when a piece of measuring equipment should be reading zero. But doesn't
5
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Define *"anomaly"*
a result that does not fit the pattern
6
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Define *"continuous variable"*
a variable which can have any numerical value. e.g. temperature, length
7
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Define *"resolution*
the smallest change that can be read from a measuring device.
8
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Explain the difference between *prediction* and *hypothesis*
Prediction is more specific than a Hypothesis
9
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When is a measurement described as *"accuarate"*?
A measurement is described as "accurate" if the value obtained is close to the true value
10
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Define *"independent variable"*
the variable that can be changed by the experimenter, there should only every be *one independent variable*
e.g. mass
11
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Where is the independent variable plotted when drawing a graph?
on the *x-axis*
12
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Define *dependent variable*
this variable is measured by the experimenter. This variable is *completely dependent on the independent variable*. There is no choice in this variable.
e.g. time
13
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Where is the dependent variable plotted when drawing a graph?
on the *y-axis*
14
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Define *"controlled variable"*
these variables must be kept the same throughout the entire experiment.
e.g. temperature of room, length of spring, friction etc...
15
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Define *"precision"*
the precision of a measurement is the degree of exactness (sometimes the number of significant figures) to which the measurement of a quantity or value can be obtained and reproduced consistently.
16
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Define *"precision of an instrument"*
the precision of an instrument is the smallest non-zero reading that can be measured using the instrument
17
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Define *"accuracy"*
Accuracy is a measure of confidence in an accurate measurement, often expressed as and upper and lower limit of the measurement based on the *uncertainty* in the measurement.
e.g. g = 9.8±0.3ms-²
18
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Define *"accurate measurements"*
a measurement which can be described as accurate is one that has been obtained using accurately calibrated instruments correctly and where no systematic errors arise
19
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scalar quantities
examples include mass, temperature and speed
20
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vector quantities
examples include weight, acceleration and displacement