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Uncertainties
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Mia Holt
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Cards (27)
SI units
The
International System
of
Units
, used
worldwide
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Base
units
Mass
Length
Time
Amount
of something
Temperature
Current
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Units for base quantities
Mass
:
kilograms
<|>
Length
:
meters
<|>
Time
:
seconds
<|>
Amount
:
moles
<|>
Temperature
:
Kelvin
<|>
Current
:
amps
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Derived units
Units derived from
combinations
of
base
units, e.g.
velocity
(m/s),
acceleration
(m/s^2),
force
(N = kg·m/s^2),
energy
(J = kg·m^2/s^2)
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Prefixes
Used to represent very
large
and very
small numbers
, e.g. tera (
10
^
12
), giga (
10
^
9
), milli (
10
^
-3
), nano (
10
^
-9
)
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Electron volt
The
energy
required to
accelerate
an
electron
through a
potential difference
of
1 volt
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Kilowatt hour
A unit of energy equal to
3.6
x
10
^
6 joules
, used for
household
electricity
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Measurement
errors
Random
errors (small spread around true value)
Systematic
errors (consistent difference from true value)
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Accuracy
How
close
a result is to the
true
value
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Precision
How close
repeated readings
are to each other
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Repeatability
Getting the
same
results when
repeating
an experiment
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Reproducibility
Getting the
same
results using a
different method
or by other
people
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Resolution
The
smallest
change that can be detected by the measuring
instrument
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Uncertainty
The
range
within which the
true
value is expected to lie, represented by
absolute
uncertainty (with units) or
percentage
uncertainty
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Readings vs Measurements
Readings
are single judgements, e.g. from a thermometer or digital meter.
Measurements
involve two judgements, e.g. using a ruler or protractor.
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Analog
meters
Have a
zero
point where you have to set the dial at the
beginning
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Single judgement reading
Absolute
uncertainty is plus or minus
half
of the
smallest
scale division
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Ruler
Absolute
uncertainty is plus or minus
1
millimeter (start point judged to
0.5mm
, end point judged to
0.5mm
)
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Percentage uncertainty in a single reading
Absolute
uncertainty divided by
measured
value, multiplied by
100
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Percentage uncertainty in repeated readings
Half
the range divided by the
mean
,
multiplied
by
100
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Drawing
graphs
1. Choose appropriate
scale
2. Plot
data
points
3. Draw
line
of best fit
4. Add error bars
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Line
of best fit
Drawn to go through the
centre
of the
data
points
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Worst
acceptable
line
of best
fit
Still
goes through the
error bars
, but not as
good
as the
true line
of
best fit
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Percentage uncertainty in gradient
Difference
between
best
and
worst
line of
best fit gradients
, divided by
best gradient
,
multiplied
by
100
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Percentage uncertainty in
y-intercept
Difference
between best and worst line of best fit
y-intercepts
, divided by best
y-intercept
,
multiplied
by
100
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Combining percentage uncertainties
If X = Y + Z, then percentage
uncertainty
in X =
percentage
uncertainty in
Y
+
percentage
uncertainty in
Z
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Estimating
values
Using
common
values and orders of
magnitude
to estimate
unknown
quantities
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