Practicals glossary Flashcards
accuracy
close to the true value
calibration
marking a scale on a measuring instrument
(involves establishing relationship between the indications of the instrument and the values it measures, e.g. putting a thermometer in melting ice to see if it reads 0)
data
qualitative or quantitative information which has been collected
measurement error
difference between measured value and true value
anomalies
values in a set of results which are not part of the variation caused by random uncertainty
random error
causes readings to be spread about the true value due to unpredictable variations from one measurement to the next
(present with any measurement, and can’t be corrected, but the effect can be reduced by taking more measurements and calculating a new mean)
systematic error
causes readings to differ a consistent amount from the true value
(sources can include environment, instruments or methods of observation and must be dealt with by repeating data collection using different technique or equipment and comparing results)
zero error
when a measuring system gives a false reading when the true reading is zero
evidence
data that has been shown to be valid
fair test
where only the independent variable has been allowed to affect the dependent variable
hypothesis
proposal intended to explain certain facts or observations
interval
quantity between readings
e.g. 11 readings spaced over a distance of 1 metre would give a 10cm interval
precision
where there is very little spread about the mean value
depends only on extent of random errors, does not indicate accuracy
prediction
statement suggesting what will happen in future, based on observation, experience or hypothesis
range
maximum and minimum values of independent or dependent variables
(e.g. from 10cm to 50cm)