Experiment Key Words Flashcards
Accuracy
A measurement result is considered accurate if it is judged to be close to the true value
Calibration
- Marking a scale on measuring instrument
- This involves establishing the relationship between indication of a measuring instrument and standard or reference quantity values, which must be applied e.g. placing a thermometer in melting ice to see wether it reads 0 degrees Celsius, in order to check if it has been calibrated correctly
Data
Information, either qualitative or quantitative, that have been collected
Measurement Error
The difference between a measured value and the true value
Anomalies
These are values in a set of results which are judged not to be part of the variation raised by random uncertainty
Random Error
- These cause readings to be spread about the true value, due to results varying in an unpredictable way from one measurement to the next
- Random errors are present when any measurement is made, and cannot be corrected. The effect of random errors can be reduced y making more measurements and calculating a new mean
Systematic Error
- These cause readings to differ from the true value by a consistent amount each time a measurement is made
- Sources of systematic error can include the environment, methods of observation instruments used
- Systematic error cannot be dealt with by simple repeats
- If a systematic error is suspected, the data collection should be repeated using a different technique or a different set of equipment, and the results compared
Zero Error
- Any indication that a measuring system gives a false reading when the true value of a measured quantity is zero e.g. the needle on an ammeter failing to return to zero when no current flows
- A zero error may result tin a systematic uncertainty
Evidence
Data that has shown to be valid
Fair Test
A fair test is one in which only the independent variable has been allowed to affect the dependent variable
Hypothesis
A proposal intended to explain certain facts or observations
Interval
The quantity between readings e.g. a set of 11 readings equally spaced over a distance of 1 metre would give an interval of 10 centimetres
Precision
- Precise measurements are ones in which there is very little spread about the mean value
- Precision depends only on the extent of random errors-it gives no indication of how close results are to the true value
Prediction
A predication is a statement suggesting what will happen in the future, based on observation, experience or a hypothesis
Range
- The maximum and minimum values of the independent or dependent variables
- For example a range of distances may be quotes as either; ‘From 10cm to 50 cm’ or ‘From 50cm to 10cm’