Key Words Flashcards
Accuracy
How close the measurement is to the true value
Calibration
Marking a scale on a measuring instruments et put instrument in a known measurement and make sure it’s the same eg water potential or absorbency of distilled water
Data
Information that is either qualitative or quantitative
Errors
Uncertainties in data sets
Measurement error
The difference between the measured value and the true value
Anomalies
Values that are not part of the variation of the whole data set caused by random uncertainties
Random error
Results vary in an unpredictable way each time the effect of random errors can be reduced by finding more measurements and making mean
Systematic error
Reading differ from the true value by a consistent amount each time,can be due to environment, the instruments being used
How reduce systematic errors
Repeat data collection using different technique of set of equipment
Zero error
When a measuring tool gives a false reading when the true vs,I’d of a measurement is zero eg when no weight on scales not at zero
Evidence
Data that has shown to be valid
Fair test
Where only the independent variable has effected the dependant variable
Hypothesis
An initial prediction of how the IV will affect the DV
Interval
The quantity between readings they should be equally spaced
Precision
The amount of variation the data shows from the mean the more precise the closer the data to the mean