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Validity (NESA)
An extent to which tests measure what was intended; an extent to which data, inferences and actions produced from tests and other processes are accurate.
Hypothesis (NESA)
A tentative explaination for an observed phenomenon, expressed as a precise and unambiguous statement that can be supported or refuted by investigation.
Reliability (NESA)
An extent to which repeated observations and/or measurements taken under identical circumstances will yield similar results.
length (SI units)
metre (m)
mass (SI units)
kilogram (kg)
time (SI units)
second (s)
electric current (SI units)
ampere (A)
thermodynamic temperature (SI units)
kelvin (K)
amount of substance (SI units)
mole (mol)
Light intensity (SI units)
candela (cd)
frequency (derived unit)
hertz (Hz)
s-1 in SI units
force (derived unit)
newton (N)
kg m s-2 in SI units
tabulating data
needs to be atleast 5 changes made to the independent variable
often raw data needs to be manipulated first
conclusion (NESA)
A judgement based on evidence
pico (p)
x10-12
e.g. 1pm
nano (n)
x10-9
e.g. 1ns
micro (μ)
x10-6
e.g. 1μg
milli (m)
x10-3
e.g. 1mm
centi (c )
x10-2
e.g. 1cm
kilo (k)
x103
e.g. 1km
mega (M)
x106
e.g. MΩ
giga (G)
x109
e.g. GW
Random errors
fluctuations (in either direction) in the measured data due to the limitations of the measuring device. They can be reduced by averaged a large number of observations
Systematic errors
the measurement always differs from the actual value in the same way, may be due to calibration error, a zero error, technique error due to experimenter, or due to another cause
Incomplete definition
systematic or random
e.g. two people measuring same string, getting diff results, due to diff tension held at etc.
to minimise: carefully conside and specify the conditions that could affect your measurement
Failure to account for a factor
Usually systematic
Can be corrected by taking account for an error that wasn’t detected earlier
Environmental factors