Experimental language and techniques Flashcards
accurate
a measurement is considered accurate if it is judged to be close to the true value
precise
-a precise measurement is one in which there is very little spread about the mean value
-precision depends only on the extent of random errors, and gives no indication of how close results are to the true (accurate) value
random error
-unpredictable differences in results due to poor measurements being made
-usually because of not carrying out exactly the same method each time, or because of limitations of the measurement device
How can the effects of random errors be reduced?
take more readings, ignore anomalies and calculate mean value
repeatable
a measurement is repeatable if the original experimenter repeats the investigation using the same method and equipment and obtains the same/precise results
How could you check if an experiment’s results are repeatable?
repeat experiment and see if the results are similar
reproducible
a measurement is reproducible if the investigation is repeated by another person using different equipment and the same results are obtained
systematic error
causes readings to be a different to the true value by a consistent amount each time
eg blood pressure measurements if just before the measurements were to be made, something always caused the blood pressure to go up (like stress)
valid
the suitability of the investigative procedure to answer the question being asked
What is the difference between a zero error and a systematic error?
All zero errors are systematic errors, but not all systematic errors are zero errors
-zero errors are always caused by the measuring equipment (eg not pressing tare before measuring the mass of something in a container)
-systematic errors can be zero errors, or when there is a bias caused that always changes the recorded value by a certain amount (eg just before blood pressure was measured, something always caused it to go up, like stress)
How many tests should you do in an experiment?
ALWAYS AT LEAST FIVE
What is an anomalous result?
a result that doesn’t fit in with the general pattern of the other results from an experiment
When you are asked for the reason behind an anomalous result, what is a good backup if you can’t think of anything else?
-error in reading equipment
-BE SPECIFIC
-eg misread the measuring cylinder scale
Not always accepted though, for example if it is a digital meter - usually try to get something better than this
Why are multiple readings often taken in an experiment?
-to spot any anomalous results
-to calculate a mean and reduce the effect of random errors
Why might using a metre rule be worse than using a digital calliper to measure something?
-metre rule has a lower resolution
-therefore it is less accurate