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Chapter 2: Measurement Errors
Gross Errors or Human Errors– Resulting from carelessness, e.g.
misreading, incorrectly recording
2
Systematic Errors– Instrumental Errors
• Friction
• Zero positioning
– Environment Errors• Temperature
• Humidity
• Pressure
– Observational Error Random Errors
3
Absolute Errors and Relative Errors
ValueMeasuredX
ValueTrueXwhere
XXeErrorAbsolute
m
t
mt
:
:
100%X
XX%ErrorErrorRelative
t
mt
4
Accuracy, Precision, Resolution, and Significant Figures– Accuracy (A) and Precision
• The measurement accuracy of 1% defines how close the measurement is to the actual measured quality.
• The precision is not the same as the accuracy of measurement, but they are related.
n
xx
x
xx1Precision n
n
nn
%Error1Accuracy
5
a) If the measured quantity increases or decreases by 1 mV, the reading becomes 8.936 V or 8.934 V respectively. Therefore, the voltage is measured with a precision of 1 mV.
b) The pointer position can be read to within one-fourth of the smallest scale division. Since the smallest scale division represents 0.2 V, one-fourth of the scale division is 50 mV.
– Resolution• The measurement precision of an
instrument defines the smallest change in measured quantity that can be observed. This smallest observable change is the resolution of the instrument.
– Significant Figures• The number of significant figures
indicate the precision of measurement.
6
Example 2.1: An analog voltmeter is used to measure voltage of 50V across a resistor. The reading value is 49 V. Find
a) Absolute Error
b) Relative Error
c) Accuracy
d) Percent Accuracy
Solution
%98%2%100%d)
98.0%21%1c)
%2%10050
4950
%100%b)
14950a)
Acc
ErrorA
V
VV
X
XXError
VVVXXe
t
mt
mt
7
Example 2.2: An experiment conducted to measure 10 values of voltages and the result is shown in the table below. Calculate the accuracy of the 4th experiment.
Solution
No. (V) No. (V)
1 98 6 103
2 102 7 98
3 101 8 106
4 97 9 107
5 100 10 99
%..
.
x
xxPrecision
.
x...xx
n
xx
n
nn
n
9695901101
11019711
110110
9910710698103100971011029810
1021
8
Class of Instrument– Class of instrument is the number
that indicates relative error.– Absolute Error
– Relative Error
rangeClass
e(range) 100
valuemeasuredx,%X
e%Error
valuetruex,%X
e%Error
mm
range
tt
range
100
100
9
Example 2.3 A class 1.0 Voltmeter with range of 100V, 250V, and 1,000V is used to measure voltage source with 90V. Calculate range of voltage and its relative errors
Solution
%11.11%10090V
10V%Error
V010,1V990V,101,000V
V10V000,1100
1ec)
%77.2%10090V
2.5V%Error
V5.252V5.247V,5.2250V
V5.2V250100
1eb)
%11.1%10090V
1V%Error
101V99V1V,100V
V1V100100
1ea)
1,000V
250V
100V
10
Measurement Error Combinations– When a quantity is calculated
from measurements made on two (or more) instruments, it must be assumed that the errors due to instrument inaccuracy combine is the worst possible way.
– Sum of Quantities• Where a quantity is determined as
the sum of two measurements, the total error is the sum of the absolute errors in each measurement.
2121
2211
ΔVΔVVVE
ΔVVΔVVE
giving
11
– Difference of Quantities• The error of the difference of two
measurements are again additive
– Product of Quantities• When a calculated quantity is the
product of two or more quantities, the percentage error is the sum of the percentage errors in each quantity
212
2211
ΔVΔVVV
ΔVVΔVVE
1
EIΔIEΔEIP
,
ΔEΔIEIΔIEΔEI
ΔIIΔEE
EIP
smallveryisΔEΔIsince
12
%10
E
E
E
I
IEI
EIIEerrorpercentage
inerror%Iinerror%Pinerror%
%100
%100
Quotient of Quantities
Quantity Raised to a Power
Example 2.4 An 820Ω resistance with an accuracy of carries a current of 10 mA. The current was measured by an analog ammeter on a 25mA range with an accuracy of of full scale. Calculate the power dissipated in the resistor, and determine the accuracy of the result.
Iinerror%Einerror%I
Einerror%
Ainerror%BAinerror% B
%2
13
Solution
mW
mARIP
82
82010 22
%5%10010
5.0
5.0
25%2
%10
mA
mA
mA
mAofIinerror
Rinerror
%20%10%10
%%%
%10%52%2
2
RinerrorIinerrorPinerror
Iinerror
Basics in Statistical Analysis Arithmetic Mean Value
• Minimizing the effects of random errors
n
xxxxx n
...321
14
15
– Deviation• Difference between any one
measured value and the arithmetic mean of a series of measurements
• May be positive or negative, and the algebraic sum of the deviations is always zero
• The average deviation (D) may be calculated as the average of the absolute values of the deviations.
xxd nn
n
d...dddD n
321
16
– Standard Deviation and Probable of Error
• Variance: the mean-squared value of the deviations
• Standard deviation or root mean squared (rms)
• For the case of a large number of measurements in which only random errors are present, it can be shown that the probable error in any one measurement is 0.6745 times the standard deviation:
n
d...ddσorSD
2n
22
21
67450.ErrorProbable
n
d...dd n22
22
12
17
Example 2.5 The accuracy of five digital voltmeters are checked by using each of them to measure a standard 1.0000V from a calibration instrument. The voltmeter readings are as follows: V1 = 1.001 V, V2 = 1.002, V3 = 0.999, V4 = 0.998, and V5 = 1.000. Calculate the average measured voltage and the average deviation.
Solution
V
dddD
Vd
Vd
Vd
VVVd
VVVd
V
VVVVVV
av
av
av
0012.05
0002.0001.0002.0001.05
...
0000.1000.1
002.0000.1998.0
001.0000.1999.0
002.0000.1002.1
001.0000.1001.1
000.15
000.1998.0999.0002.1001.15
521
5
4
3
22
11
54321