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physical quantity
any property of a material or system that can be quantitatively measured. It consists of a numerical magnitude and a unit
base units
defined physical quantities in the International System of Units (SI) that are specified independently of other units.
7 base quantities
mass (kg), length (m), time (s), current (A),
temperature (K), amount of substance (mol), and luminous intensity (cd).
dimensional homogeneity
Dimensional homogeneity means that both sides of an equation must have the same units
pico
p, 10−12
nano
n, 10-9
micro
μ, 10−6
milli
10-3
centi
c, 10-2
deci
d, 10-1
kilo
k, 103
mega
M, 106
giga
G, 109
tera
T, 1012
Systematic Errors
an error that results in ll reading being either above or below the true value, by a fixed amount and in the same direction each time the measurement is taken.
properties of systematic error
Consistent bias in measurement.
Due to faulty instruments, incorrect calibration, zero error.
Affects accuracy, not precision
properties of random error
Unpredictable fluctuations in readings.
Due to human reaction time, air currents, thermal noise, etc.
Affects precision.
random error
The component of measurement error that varies in an unpredictable manner from one measurement to another, producing a scatter of values that may be above or below the true value due to uncontrollable variables or inherent limitations in the measurement process
minimising random error
repeating a reading and averaging or by plotting a graph and taking a best-fit line.
examples of random error
reading a scale, especially judgement about interpolation between scale readings
timing oscillations without the use of a reference marker
measuring two quantities simultaneously, which vary with time
parallax error
examples of systematic errors
zero error
wrongly calibrated scale
reaction time of experimenter
reducing systematic error
improving experimental technique
instruments should be recalibrated
precision
refers to how close a set of measured values are to each other
accuracy
refers to the closeness of a measured value to the ‘true value’
difference between precision and accuracy
precision refers to how close a set of measured values are to each other while accuracy refers to the closeness of a measured value to the ‘true value’
precision is affected by random errors while accuracy is affected by systematic errors
accuracy is improved by calibrating instruments and correcting biases while precision is improved by refining measurement technique and reducing fluctuations
uncertainty for single measurement
Uncertainty = ± (smallest division / 2)
uncertainty For Repeated Measurements
Uncertainty = ± (range / 2)
combining uncertainty while adding quantities
If Q = A ± ΔA + B ± ΔB
Then: ΔQ = ΔA + ΔB
combining uncertainty while subtracting quantities
If Q = A ± ΔA - B ± ΔB
Then: ΔQ = ΔA + ΔB
combining uncertainty while multiplying/dividing quantities
%ΔQ = %ΔA + %ΔB
combining uncertainty with Powers and Roots
Q = Aⁿ
%ΔQ = |n| × %ΔA
true value
A perfect measurement value which reflects the quantity being measured with no errors
zero error
occurs when an instrument gives a non-zero reading when the true reading is zero
Absolute Uncertainty
where uncertainty is given as a fixed quantity
Fractional uncertainty
where uncertainty is given as a fraction of the measurement
Percentage uncertainty
where uncertainty is given as a percentage of the measurement
The uncertainty in digital readings
± the last significant digit unless otherwise quoted
Scalars
quantities that have magnitude but not direction
Vectors
quantities that have both magnitude and direction
Distance
the total length of the path taken
Displacement
the length and direction of a straight line drawn from the starting point to the finishing point
Example of scalar quantities
distance, speed, mass, time, energy, volume, density, pressure, electric charge, temperature
Examples of vector quantities
displacement, velocity, acceleration, force, momentum