Lecture Notes - Error Analysis

No measurement is perfectly exact or accurate.

Instrumental, physical, and human error

True Value.

The value if we were able to eliminate all error.

We can never hope to measure the "true value".

Usually we don’t know the true value

We still can estimate the error

Reliability of a measurement

Depends on estimating the error / uncertainty in data to obtain it

Indeterminate errors

Causes: operator errors or biases, fluctuating experimental conditions,

varying environmental conditions, inherent variability of measuring

instruments

Effects can be reduced by averaging the results

è A single measurement is not sufficient

Systematic errors

The error has the same size and same sign for every measurement

A bias in the observer or the instrument

Experimental blunder

Can be more serious than Indeterminate errors:

There is no sure way to discover and identify them

Their effects cannot be reduced by averaging results

Effects may be corrected when re-done by another experimenter

è A single measurer is not sufficient

Small indeterminate error è high precision

Small indeterminate error and small Systematic error è accurate

Standard Methods for Expressing Error

Absolute measures e.g. 34.0 g ± 0.7 g

All measurements are within 0.7 g

Relative uncertainty

absolute error / size of the measurement

e.g. 0.7/34 = 0.02 or 2%

e.g. Termperature measurement, instrument reliable to ± 0.5 degree?

Relative or absolute measurement?

Relative: 0.5% in measuring boiling point (100 degrees)

10% in measuring cold water at 5 degrees

"Undefined" in measuring freezing point 0 degrees

Nonsensical

è Relative measurement is important to characterize our labs

è Common sense and good judgment must be used

Data Error propagate through the calculations to produce errors ion the results.

è It is the size of the data errors' effects on the results which is most important.

E.g. Ave velocity = displacement / time

Suppose time is 8.3 s. Suppose displacement is 1.000 ±0.0001 m.

hw is velocity constrained? (Upper and lower limit)

Suppose time is 8.3 ± .1 s. How is velocity constrained? (THEY TRY) We must assume a worst-case combination of signs.

Sum and difference rule: add absolute error

Product and quotient rule: Add relative errors

Power rule: Multiply the relative error by the power. Holds also for fractional powers.