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Measurements and Uncertainties

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Presentation on theme: "Measurements and Uncertainties"— Presentation transcript:

1 Measurements and Uncertainties

2 Uncertainties and Errors
Resolution This is the smallest change in a quantity that can be measured by an instrument. E.g. What is the resolution of a. A 30cm ruler b. An analogue wristwatch c. A thermometer We prefer high resolution instruments: A micrometer screw gauge measures to a resolution of 1/100 mm. A vernier calliper measures to a resolution of 1/10mm.

3 Error and uncertainty An error that is repeated in all readings taken is called a systematic error. Poor instrument calibration leading to a ‘zero error’ is an example of a systematic error. Random errors occur often during repeated experiments, causing the reading to vary above and below the true value. If values have to be estimated, there is often a random error. Q. Which of these two types of errors can be reduced by taking an average of repeated readings?

4 Precision and Accuracy
If repeated measurements always give very similar results, they are precise – they have small random error and low uncertainty. However, this does not mean they are accurate. If repeated measurements are fairly near to the true value, they are accurate – the systematic error is small. However, they may not be precise. Precise but inaccurate Accurate but imprecise

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6 Ruler scale True value To reduce error:
Always repeat readings if possible. Take readings at eye level Use take at least 6 sets of readings Check for a zero error before starting

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12 Determining Errors and Uncertainties
On a single reading, the (+ or -) uncertainty could be considered equal to either the instrument resolution or the human error, depending which is largest. Q. Measure the length of your pen using a ruler. What is a) the uncertainty b) the % uncertainty

13 If an average reading is calculated from a few readings, the uncertainty equals ½ x the range:
E.g. In an experiment a toy car was rolled repeatedly down a ramp in these times… 8.12s, 8.16s, 8.08s, 8.14s, 8.10s Average time = 8.12s, however we are not certain that this is the true value. Range = 8.16 – 8.08 = 0.08 so uncertainty = +/-0.04 Time = / s (Note: With multiple oscillations, when dividing to find T you also divide the absolute uncertainty)

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