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Basically your uncertainty is the innaccuracy or your measurement. For instance if you had a yard ruler that was marked only in inches and the length of the object you were measuring lied somewhere between 12 and 13 inches; you could state that the objects length is 12 1/2 inches ± 1/2 inch. The ± 1/2 part is your uncertainty, it means the measurement could be either 1/2 inch longer or shorter than your stated measurement.

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Q: What is a doubt or uncertainty in measurement?
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How do you calculate uncertainty?

There are several ways to calculate uncertainty. You can round a decimal place to the same place as an uncertainty, put the uncertainty in proper form, or calculate uncertainty from a measurement.


Does a measurement of 23.56mL has more uncertainty than a measurement of 23.5mL?

No, its more certain than 23.5 mL


How do you calculate the uncertainty of data?

When involving in scientific experiments, it is very important to make measurement. In each and every measurement we take, say a length, time, angle etc. we have to use a particular instrument. As every instrument has a least count (also known as the minimal reading), there will be an uncertainty left. As an example, consider a measurement using a vernier caliper as at 10.00 cm, there will be an error of 0.01cm. If we do the same measurement by a meter ruler, there'll be an error of 0.1 cm, or 1 mm. Therefore the uncertainty of a particular measurement is dependent on the instrument it has been taken. As a convention we take the 1/2 of the least count for analog instruments and the least count for digital instruments as its uncertainty.


How do you calculate measurement uncertainty for acceleration given uncertainty in time?

If the distance is known to perfection, an acceleration is constant, then the absolute error in the calculation of acceleration is 2/t3, where t is the measured time.


What must measurements have?

The usual measuremnts consist of Units and quantities (how much) More sophisticated measurements should also include some kind of expression for the uncertainty of the measurement.