ch1: scientific investigation Flashcards
true value
the value that would be found if the quantity could be measured perfectly.
accuracy
how close the measured value is to the true value
precision
how close two or more measurements are to each other. it is a measure of repeatability/reproducibility. precision, however, gives no indication of how close the measurements are to the true value, only how close they are to each other.
measurement result
the final result, usually the avg of several measurement values. if only one value is measured, then the measurement result is that one value.
repeatability
how closely successive measurements agree with each other when they’re the same quantity being measured and carried out under the same conditions of measurement, such as the same measuring instrument and the same location.
reproducibility
how closely the quantity being measured and the results of measurement agree when the conditions of measurement are changed. examples of changed conditions include a different observer, different measuring instruments or different locations.
validity
a valid experiment is one that investigates what it claims to investigate. experimental design and implementation should be considered when evaluating validity. for example, if controlled variables are changed or if there is observer bias, then the experiment is not valid.
random errors
- affects the precision of measurement
- may be present in all measurements
- unpredictable variations in the measurement process that results in a spread of readings
systematic errors
- causes readings to differ from the true value in a systematic manner
- when the same value is measured repeatedly, the error will be the same
- systematic errors result from incorrect calibration of equipment, inappropriate methods or instrumentation limitations
repeated measurements
used to reduce the effect of random errors and the likelihood of mistakes.
mistakes
- should not be included in reporting and analysis
- experiment should be repeated correctly
uncertainty
uncertainty is the margin for error in a measurement.
addition & subtraction sig fig rules
in addition and subtraction, you round the answer to whichever number had the least amount of sigfigs
outlier
- data pts/observations that differ significantly from other data points or observations
- should be further analysed and accounted for
- repeated experiments are good for examining outliers