Estimating and Reporting Measurement Errors Flashcards

Types of errors, significant digits, how to report measurement results with errors. (54 cards)

1
Q

Improvement of measurment accuracy and repeating of measurements ________ uncertainty.

A

reduces

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2
Q

True or false:

Two values V1±ΔV1 and V2±ΔV2 which overlap in their error range ±ΔVi are two distinguishable results.

A

False

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3
Q

A rule of thumb for estimating uncertainty of digital and analog equipment is:

A
  • ± half the smallest division (in analog devices)
  • ± the last significant digit unless otherwise quoted (in digital devices)
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4
Q

What are random errors? How can they be controlled?

A

Random Errors: measurement errors that fluctuate due to the unpredictability or uncertainty inherent in the measuring process.

Can be minimalized through control of experiment conditions.

e.g. The rate of liquid vaporization depends on the humidity and pressure of air, which can fluctuate during measurement. Controlling ambient conditions helps control random uncertainties caused by these factors.

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5
Q

What are systematic errors?

A

A systematic error is an additive source of error that results from a persistent issue.

Leads to a consistent error in measurements.

e.g. a source of systematic error can be uncalibrated measuring equipment or instrumental errors

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6
Q

Errors introduced by incorrect model assumptions?

A

A model which oversimplifies a complex system or ignores key variables can introduce errors to measurements based on this model’s assumptions.

e.g. Varying diameter values (“uncertainty in diameter value”) measured for a spherical looking object under the assumption of a perfect sphere.

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7
Q

To find the number of significant digits, display number in ________ with one ________ before decimal point.

A

scientific notation
nonzero digit

e.g. 0.0025 kg will be converted to 2.5x10-3kg

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8
Q

Trailing zeros after decimal point are ________.

Significant figures\insignificant figures

A

significant figures

e.g. 22.0 has 3 significant figures

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9
Q

Leading zeros before decimal point are ________.

Significant figures\insignificant figures

A

insignificant figures

e.g. 0.0025 has 2 significant figures (not 5)

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10
Q

Countable numbers (e.g. 12 eggs) are always ________ values.

A

Precise numbers

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11
Q

Final or trailing zeroes are significant only after ________.

A

a decimal point

e.g. 400.00 has 5 significant figures whereas 400 has only 1.

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12
Q

Numbers are rounded ________ when the digit to the right is greater than 5 and ________ when it is smaller than 5.

A

up
down

e.g. 2.36 is rounded to 2.4 and 2.34 is rounded to 2.3

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13
Q

When the digit to the right is 5, number is rounded ________.

A

to the nearest even number

e.g. 2.35 will be rounded to 2.4 and 2.65 will be rounded to 2.6

Rounding should be done only in the final phase of the calculations.

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14
Q

Number of digits after decimal point in addition\substraction result?

A
  1. Add up the number of significant figures to the right of the decimal part of each number used in the calculation.
  2. Perform the calculation (addition or subtraction) as usual.
  3. The answer must not contain more significant figures to the right of the decimal point than the fewest of any of the figures worked out in part 1.

e.g. 0.10 + 0.024 = 0.12

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15
Q

Number of significant figures in multiplication\division result?

A

Same number of significant figures as in the smallest total of significant figures in the initial numbers.

e.g 3.10⋅ 3.50 = 10.85≈10.9, because the smallest total of significant figures in the initial numbers is 3.

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16
Q

Number of significant figures in results obtained by operations between measured values and exact numbers?

A

Determined by number of significant figures in measurement result.

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17
Q

Number of significant figures in results obtained by operations between measured values and conversion constants?

A

Determined by number of significant figures in measurement result.

e.g. 100.000 °C⋅273.15 [K/(°C)]=273.150K
* Measured value (100.000 °C) has 6 significant figures, as in the result.
* Conversion constants are considered exact values.

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18
Q

Number of significant figures in the mantissa of log(x)?

Mantissa - the fractional part of the common (base-10) logarithm

A

Same as number of significant figures in x.

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19
Q

Number of significant figures in 10y?

y=log x (10y is the antilogarithm of y)

A

Same as the number of significant figures in the mantissa of y

e.g. 1012.389=2.45×1012

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20
Q

Explain why the following measurement result is reported incorrectly:
9.82±0.02385 mL

A

Too many digits after decimal point in measurement error.

Correct form is:
9.82±0.02 mL

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21
Q

Explain why the following measurement result is reported incorrectly:
6051.78±20 g

A

Too many digits in measured value.

Correct form is:
6050±20 g

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22
Q

Report the following result as Value±Error:

Measured value: 92.81
Error: 0.3

23
Q

Report the following result as Value±Error:

Measured value: 93
Error: 3

24
Q

What is a representative value for a set of measurements?

Give 2 examples of common representative values.

A

A single value representing a set of measurements of the same variable (e.g. weight of the same object).

A represaentative value can be the average or the median of all measured values.

25
What is the mean (average) of N measured values (x1…xN)
26
What is the median for a set of values (x1…xN )?
The median is the middle number in a group of numbers when they are put in order from smallest to biggest.
27
What is the median for a set of values (x1…xN ) when N is an **even** number?
The average between the two numbers in the middle. ## Footnote e.g. for the set (0.1006, 0.0990, 0.0997, 0.1010) the median will be (0.0990+0.0997)/2
28
What does the standard deviation represent?
The standard deviation is a measure of the amount of variation of the values of a variable about its mean. ## Footnote (A measure for the **precision** of the measurement)
29
Given a set of N measurements (x1…xN ) of the variable x and its mean value, what is its the standard deviation s?
## Footnote (xi-x ̅) is the deviation of meaurement i from the average value (the representataive value)
30
What is precision? What is the impact of random errors on precision?
* Precision measures the degree to which repeated (or reproducible) measurements under unchanged conditions show the **same results**. * Random errors reduce precision. ## Footnote The repeating results do not necessarily match the theoretical value, unless results are also **accurate**.
31
Random errors can be evaluated and handled using \_\_\_\_\_\_\_\_.
Statistical tools ## Footnote e.g. finding a representative value using a median or mean value or evaluating precision using standard deviation.
32
The presence of \_\_\_\_\_\_\_\_ errors can account for reduced accuracy.
Systematic errors
33
**Accuracy** is how close a given set of measurements are to \_\_\_\_\_\_\_\_.
their true value
34
Can you eliminate the impact of systematic errors on measurement results?
Yes, but only if the nature of this impact is well characterized. ## Footnote e.g. If the source of the error is an uncalibrated scale, one must substract the weight displayed on the empty scale from the measurement results.
35
The measurement results in the table below were obtained for the same variable. 1. What can be a possible cause of the error responsible for the difference in measured values (the value before ±)? 2. How can this error be reduced?
1. Difference in ruler material. Expansion/contraction as a result of temperature differences. 2. By modeling and taking into account effects of thermal expansion or similar effects caused by variations in air-humidity. ## Footnote Notes: * the uncertainties 0.05 and 0.08 are probably temperature independent. * Effects of humidity and temperature that are taken into account will also change (increase) the error (value after ±), because now it is the accumulated error.
36
If the uncertainty of a single measurement x is δx (e.g uncertainty value noted on measurement equipment), the uncertainty for the **average value** x ̅ of N consecutive measurement of the same variable will be:
## Footnote For this reason, precision is improved with N.
37
2 ways to decrease random errors? ## Footnote And improve precision
1. Take a large number of measurements (large N). 2. Control experimental environment so as to decrease potential sources for random errors.
38
One possible way to reduce systematic errors? ## Footnote (and improve accuracy)
Calibrate equipment
39
Formula for relative standard deviation (RSD)?
## Footnote Relative standard deviation - standard deviation relative to measurement average.
40
Formula for coefficient of variation (CV)?
CV=100×(s/x ̅ )=100×Sr ## Footnote RSD in %
41
When calculating x ̅, RSD or systematic error, the number of significant figures after a decimal point is determined according to \_\_\_\_\_\_\_\_.
The number of significant figures after the decimal point in the original measured values (x1…xN)
42
Given an average of measurements x ̅ and the theoretical value V of variable x, what is the systematic error?
Systematic error = (average value) - (theoretical value)
43
An outlier is \_\_\_\_\_\_\_\_.
a data point that differs significantly from other measured values.
44
\_\_\_\_\_\_\_\_, is used for identification and rejection of outliers.
Dixon's Q test
45
Dixon's Q-test determines if a value is an outlier within a \_\_\_\_\_\_\_\_, assuming data is \_\_\_\_\_\_\_\_.
within a given confidence (90%, 95%...) normally distributed
46
Steps in applying a Q test for potentially bad data?
1. Arrange the data in order of increasing values. 2. calculate Q as: Q=|Δ1|/Δ2 ## Footnote |Δ1| - absolute difference between the outlier in question and the closest number to it (gap). Δ2 - difference between largest value and smallest value in data set, **including outlier** (range).
47
# Dixon's Q-test: If the Q value for a certain set of data is greater than \_\_\_\_\_\_\_\_ of Q for the desired confidence. The value suspected as an outlier is \_\_\_\_\_\_\_\_.
the critical value rejected
48
# True or false: Dixon's Q-test can be used only once for a given set of data.
True
49
Q=0.722 was obtained for a data point suspected as an outliner in a set of 5 measurements. Can we reject it with a confidence of 90%? 95%? 99%
90%, 95% - yes 99% - no (critical value is 0.821)
50
Rejection of outliners must be fully recorded \_\_\_\_\_\_\_\_.
In your lab report ## Footnote alongside a rationalization of the rejection.
51
Calculations made from measurement results have \_\_\_\_\_\_\_\_ accumulated from \_\_\_\_\_\_\_\_.
Errors Individual measurement results
52
Given a function q(x…z) of measurement results x...z, what is the accumulated error δq of q?
## Footnote * Equation holds true only for sufficiently small errors δx, δy, δz. * General formulae for δq of simple functions such as addition, multiplication and raising to power are given in table 4 pg 30 of intruducion pdf.
53
If the accumulated error Sy of calculation result y has an uncertainity in the order of 10-2, the uncertainity in calculated result must also be \_\_\_\_\_\_\_\_.
in the order of 10-2
54
Given a calculation performed on measurement of r: V=(4/3)πr3=(4/3)π(1.2578/2)3=1.041917646 cm3 with an error: Sv=0.0005 cm3 how should one display the calculation result with it's error?
V=1.**0419**±0.0005 cm3 ## Footnote Number of digits after the decimal point is determined by the order of the error. Error is in the order of 10-4 so calculation result is accurate up to the fourth digit after the decimal point.