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20 Cards in this Set

  • Front
  • Back
Describes a measurement which is close to the TRUE VALUE
Measurements that fall otside the normal, or expected, range of measured values. A larger number of readings allows such data to be identified with greater certainty
Anomoly / anomolous data
Fixing known points when using a measuring instrument and constructing a scale between these fixed points.
A change in one variable that resuls from, or is caused by, a change in another variable.
Causal link
Scientist carry out STATISTICAL TESTS to ssess the PROBABILITY of the results of a investigation being due to this.
A variable that may, in addition to the INDEPENDANT VARiABLE, affect the outcome of the investigation.
Confounding variable.
An experiment set up to eliminate certain possibilities. In a well-desinged investiagtion, the INDEPENDANT VARIABLE is changed and all CONFOUNDING VARIABLES are kep constant. The possibility still exists that something else other than the independant variable might have produced the results that were obtained. This is designed to eliminate this possibility.
Control experiment
A group at is treated in exactly te same way as the experimental group, except for the factor that is being investiagted. ensures valid data as it shows that the change in results is due to the INDEPENDANT VARIABLE.
Control group.
Shows a relationship between two variables, however, it might not be a causal oe.
The variable that is measured
Readings that are different to the TRUE VALUE.
The data or observations that are used to support a given hypothesis or belief.
Only the INDEPENTANT VARIABLE is allowed to affect the DEPENDANT VARIABLE. This can usually be acheived by keepping all other variables constant or controlled.
Fair test.
A possible explaation of a problem tha can be tested experimentally.
The variable for which values are changed by the investigator.
related o the smalest scale division on the measurig instrument used Such measurements will have very little spread about the mean value.
Errors that occur in an unpredicatble way. They may be caused by human error faulty technique in taking measurements or by faulty equipment.
Random error
this is improved when an investigation is repeated by other scientists who get the same results. Data collected in a single investigation cann be improved by carrying out repeated measurements.
This is the accurate value tat ould be found is the quantity could be measured wthout any ERRORS.
True value
here measurements that have been made are affected by a single INDEPENDANT ARIABLE only. CONTROL VARIABLES must not e allowed to chage and there must be no observer bias. Data must be RELIABLE ad measures to an appropriate level of ACCURACY.