Measyurements and their Errors AQA A-level Definitions

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Last updated 9:07 PM on 6/7/26
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27 Terms

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Accuracy

A measure of how close a measurement is to the true value.

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Precision

A measure of how close a measurement is to the mean value. It only gives an indication of the magnitude of random errors, not how close data is to the true value.

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Random Error

Unpredictable variation between measurements that leads to a spread of values about the true value. Random error can be reduced by taking repeat measurements.

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Systematic Error

Causes all readings to differ from the true value by a fixed amount. Systematic error cannot be corrected by repeat readings, instead a different technique or apparatus should be used.

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Repeatable

The same experimenter can repeat a measurement using the same method and equipment and obtain the same value.

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Reproducible

An experiment can be repeated by a different experimenter using a different method and different apparatus, and still obtain the same results.

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Resolution

The smallest change in a quantity that causes a visible change in the reading that a measuring instrument records.

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Uncertainty

The interval that a value is said to lie within, with a given level of confidence.

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reduce random errors

take repeat readings

use digital data loggers/ computer to reduce human error

use appropriate equipment e.g. better resolution

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reduce systematic errors

zero the balance

calibrate equipment by measuring known value

read from bottom of miniscus to reduce parallax error

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reading

one value is found

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measurement

difference between 2 readings is found (2 ends of a ruler)

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uncertainty in reading

± half smallest division

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uncertainty in measurement

± at least 1 smallest division

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repeated data uncertainty

± range/2

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reduce uncertainty

fix one end of the rule

measure multiple instances

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adding/ subtracting data

add absolute uncertainties

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multiplying/ dividing data

add percentage uncertainties

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raising to a power

multiple percentage uncertainty by power

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uncertainty in a gradient

(best- worst gradient)/best gradient x 100. also works best - worst y intercept

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independant

variable changed

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dependant

variable measured

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discrete

certain values taken - scatter + bar

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continuous

can take any value - line/ scatter

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categoric

can be sorted into catagories - pie/bar

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ordered

can be put into ordered categories e.g. high, medium, low - bar