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Yes. There is no system of measurement that is "perfect" in every way. We work hard to reduce error or uncertainty when we measure stuff, but we cannot eliminate it.
Experiments are often likely to contain errors. Quantitative error analysis means determining uncertainty, precision and error in quantitative measurements.
calibration
Swinging the pendulum multiple times allows us to account for any variations or errors in individual swings, leading to a more accurate measurement of the average time. Taking an average helps to minimize the impact of any random factors that could affect the individual swings and provides a more reliable representation of the pendulum's true behavior.
The importance of least count ( the highest degree of accuracy of measurement) helps calculate the margin of errors when doing measurements.
poor precision in scientific measurement may arise?
Finite precision arithmetic, solve numeric errors by using the floating point.
inaccurate calibration insufficient control of the independent variable poor measurement techniques difficulties in reading measurements (low light, vibration, etc.) insufficient precision in measurement ambiguities in what is being measured measurement bias question bias failure to control other important variables that are not being measured (in the case of electronic measurements) interference or static
sources of errors encountered in measurment
Random measurement errors of the same physical quantity if small, should over time cancel, while systemic measurement errors will not. Reading an instrument may produce random errors. If the same person reads it, there is a chance of systemic errors, so having separate individuals make independent readings is one way of reducing systemic error. Errors in calibration of equipment produces systemic errors. Sometime minor flucuations in environment causes highly sensitive equipment to generate random errors. However, using an instrument in an environment that is outside its working range can cause systemic errors.
Some of the reasons are: Systematic measurement errors. Random measurement errors. Poor use of equipment. Recording errors. Calculation errors. Poor plotting. Wrong model.
Transmittance is a measurement of the amount of light that is able to pass through a material, and it can be used to accurately determine the amount of light that is transmitted. However, the accuracy of the measurement depends on factors such as the quality of the equipment used and the conditions under which the measurement is taken. Therefore, while transmittance can provide an accurate measurement, it is important to ensure that proper procedures and equipment are used to minimize errors.
Precision is the number of significant figures, a function of the instrument / procedure used. Accuracy describes measurement error, indicating how closely that the measurement represents the actual value. Errors affect accuracy... like the butcher's thumb on the scale.
No, because there can be measurement errors as well as errors in recording the data.
It reduces the chance of making errors.
Roughly speaking, the percentage error when you multiply two numbers (measurements) will be similar to the percentage error of each of the individual numbers. Actually, the MAXIMUM percentage error can be approximately as much as the sum of the individual percentage errors, but the EXPECTED percentage error will be less than that.
Purity of substance/material, measurement errors, calculation errors.