Error in measurement
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The document discusses various types of measurement errors, including systematic, observational, gross, and random errors, highlighting their causes, effects, and mitigation strategies. Systematic errors arise from instrument design or external conditions, while gross errors stem from human mistakes. Observational errors can often be minimized with careful practices, and random errors, caused by unpredictable changes, can persist despite corrections.
Error in measurement
- 2. Errors in Measurement Errors and uncertainties are inherent in the process of making any measurement and in the instrument with which the measurement are made. The study of error important as a step in finding way of reducing them, and also as means of estimating the reliability of final results. The accuracy and precision of measuring instrument depends upon its design proper selection of material for each and every part and skill of manufacturing.
- 3. Types of Error Error Limiting (Guarantee ) Error Systematic Error Instrumental Error Environmenta l Error Observation Error Gross Error Random Error
- 4. Limiting (Guarantee ) Error In most instruments the accuracy is generated to be within a certain percentage of full scale reading the manufacturer has to specify the deviations from the nominal value of a particular quantity. The limits of these deviation from the specified value are define as limiting error. If Qs= The specified quantity or true quantity of a component and Qa= The actual or erroneous quantity Error (δQ)= Qa –Qs Relative limiting Error (Er)= δQ/ Qs Percentage of Error %Er= Er X 100
- 5. Systematic Errors These error can be located only by having repeated measurements under different condition or with different equipment and where possible by an entirely different method. Classification of systematic Error 1. Instrumental Error 2. Environmental Error 3. Observation Error
- 6. Instrumental Error These error occurs due to • Inherent Shortcomings of Instruments: Such types of errors are inbuilt in instruments because of their mechanical structure. They may be due to manufacturing, calibration or operation of the device. These errors may cause the error to read too low or too high. • For example – If the instrument uses the weak spring then it gives the high value of measuring quantity. The error occurs in the instrument because of the friction or hysteresis loss.
- 7. • Misuse of Instrument – The error occurs in the instrument because of the fault of the operator. A good instrument used in an unintelligent way may give an enormous result. • For example – the misuse of the instrument may cause the failure to adjust the zero of instruments, poor initial adjustment, using lead to too high resistance. These improper practices may not cause permanent damage to the instrument, but all the same, they cause errors.
- 8. • Loading Effect – It is the most common type of error which is caused by the instrument in measurement work. For example, when the voltmeter is connected to the high resistance circuit it gives a misleading reading, and when it is connected to the low resistance circuit, it gives the dependable reading. This means the voltmeter has a loading effect on the circuit. • The error caused by the loading effect can be overcome by using the meters intelligently. For example, when measuring a low resistance by the ammeter-voltmeter method, a voltmeter having a very high value of resistance should be used.
- 9. Environmental Errors These errors are due to the external condition of the measuring devices. Such types of errors mainly occur due to the effect of temperature, pressure, humidity, dust, vibration or because of the magnetic or electrostatic field. The corrective measures employed to eliminate or to reduce these undesirable effects are 1. The arrangement should be made to keep the conditions as constant as possible. 2. Using the equipment which is free from these effects. 3. By using the techniques which eliminate the effect of these disturbances. 4. By applying the computed corrections.
- 10. Observational Error • Such types of errors are due to the wrong observation of the reading. There are many sources of observational error. These are the errors that arise due to an individual’s bias, lack of proper setting of the apparatus, or an individual’s carelessness in taking observations. For example, the pointer of a voltmeter resets slightly above the surface of the scale. Thus an error occurs (because of parallax) unless the line of vision of the observer is exactly above the pointer. To minimise the parallax error highly accurate meters are provided with magnified scales.
- 11. Gross Errors The gross error occurs because of the human mistakes. For examples consider the person using the instruments takes the wrong reading, or they can record the incorrect data. Such type of error comes under the gross error. The gross error can only be avoided by taking the reading carefully. For example – The experimenter reads the 31.5ºC reading while the actual reading is 21.5ºC. This happens because of the oversights. The experimenter takes the wrong reading and because of which the error occurs in the measurement. Such type of error is very common in the measurement. The complete elimination of such type of error is not possible. Some of the gross error easily detected by the experimenter but some of them are difficult to find. Two methods can remove the gross error. Two methods can remove the gross error. These methods are • The reading should be taken very carefully. • Two or more readings should be taken of the measurement quantity. The readings are taken by the different experimenter and at a different point for removing the error.
- 12. Random Errors The random Error are accidental small and independent. The error which is caused by the sudden change in the atmospheric condition, such type of error is called random error. These types of error remain even after the removal of the systematic error. Hence such type of error is also called residual error.