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Accuraccy
Closeness of an observed value to its true value
Absolute error
| True value - Observed value |
Relative error
| true value - observed value| / True value
Percentage error
| (True value - Observed value) / True value | x 100
Systematic error
When repeated, observed values are displaced in the same direction from the true values. They may read consistently higher or lower than the true values
Causes of systematic error
improperly calibrated measuring instruments (e.g. forgetting to zero a scale”
Random error
When repeated, observed values are scattered randomly above and below the true value
Cause of random error
caused by random fluctuations in the ambient conditions or uncontrolled variables
How to reduce absolute error
Use measuring instruments with appropriate resolution, read analogue instruments directly front on to reduce parallax
How to reduce relative error
Design experiments to increase the size of measurements being made
How to reduce systematic error
ensure that measuring instruments are properly calibrated and zeroed
How to reduce random error
Hold control variables constant so that they dont add fluctuations to the measurements. Conduct repeated trials of measurement and calculate an average
Uncertainty
The possible margin of error within an experiment
when does a measurement agree with an accepted value
If the accepted value falls within the measurements uncertainty range
Precision
When the uncertainty of an experiment is small
Absolute uncertainty
normal uncertainty e.g. 5 +- 0.2
percentage uncertainty
(Absolute uncertainty / measured value) x 100
How do you calculate uncertainty in a measuring device
Halve the smallest readable graduation on the scale of a device
Uncertainty in LOBF
Find the uncertainty of each measurement included within the line of best fit, then draw two lines of worst fit with one line starting at the lowest uncertainty and finishing at the highest uncertainty and vice versa.
Once you have done that, the uncertainty is calculated using:
+- (max LOWF gradient - min LOWF gradient)/2
How can uncertainty be reduced
same ways as reducing errors
combining uncertainty
+-x/ the approximate lengths then find the minimum and maximum lengths by +-x/ the minimum and maximum values
Reliability
The consistency in results
Internal reliuability
When repeated trials within an experiment are consistent (precision)
External reliability
When the results from one experiment are consistent with those from other experiments conducted in the same way
How can reliability be asessed
Quantifying spreads of trials around an average. large spreads are unreliable and vice versa. OR if the relative uncertainty of the trials is less than an arbitrary value e.g. 5%
How can you improve reliability
reducing the effect of random errors
Validity
An experiment which examines what is intended aka the relationship between the independent and depended variable
How can we assess validy
An experiment is valid only if the independent variable can be varied
when is an experiment valid
reliable results
accurate results