Theory of Errors
- Measurements of angles and distances are made in different surveying processes.
- It is impossible to determine the actual values of these quantities because some type of errors always creep in every measurement.
Occurrence of Error
- Imperfection in Instruments
- Environmental Condition
- Human Limitations & Carelessness.
Imperfection in Instruments
Due to faulty Instrument.
Example: incorrect length of chain, collimation error.
Environmental Condition
Due to nature error.
Example: error due to curvature, error due to slope, error due to temperature.
Human Limitations & Carelessness
Due to wrong reading/ writing.
Type of Error
The errors can be classified into three types.
- Gross errors or mistakes
- Systematic or cumulative errors
- Accidental or random errors.
1. Gross Errors or Mistakes
- Inexperienced or careless surveyors make mistakes.
- These errors are unpredictably occurring and can be avoided by following a standard operating procedure.
2. Systematic or Cumulative Errors
- The systematic errors are of same magnitude and nature in the same conditions.
- The systematic errors can be computed and suitable corrections applied.
- For example, the error in the length of the steel tape due to change in temperature is a systematic error.
3. Accidental or Random errors
- Accidental errors occur due to lack of perfection in human eye.
- The accidental errors obey the law of chance.
- These error tends to compensate each other, when large in number.
- These can be understood and eliminated with the help of mathematical theory of probability.
Important Terminology
1. Precision
- Degree of perfection use at the time of measurement is called precision.
- It is adopted by using high quality instrument, skilled surveyor, and using correct manner of measurement.
2. Accuracy
- Degree of perfection obtained in measurement is called accuracy.
- If any measurement more near to the true value of quality it is considered as more accurate.
3.True Value
- Exact value of quantity is called true value.
- It is ideal value which can not be obtained.
4.True Error
- The difference between the observed value and the true value of a quantity is knows as true error.
- True error = Observed value – True value
- As the true value of a quantity is never known, the true error can also never be determined.
5.Most Probable Value (M.P.V)
⇒ The most probable value of a quantity is a value which has more chance of being true value than any other value.
⇒ The most probable value is very close to the true value.
⇒ It is calculated on the basic of Principle of Least Square.
⇒ It is equal to the the weighted average mean.
- MPV for multiple measurement
MPV = \(\bar{x} = \frac{x_1+x_2….+x_n}{n}\) - MPV for multiple measurement with weight
MPV = \(\bar{x} = \frac{x_1w_1+x_2w_2….+x_nw_n}{w_1+w_2…+w_n}\)
6. Principle of Least Square
MPV is that value of quantity for which sum of square of error is least.
- Y = sum of square of error
\(Y=(x_1-\bar{x})^{2}+(x_2-\bar{x})^{2}\)\(+…..(x_n-\bar{x})^{2}\)
7.Residual Error
The difference between the observation value and most probable value of a quantity is called the residual error, residual or variation (v).
Residual Error= Observed Value – Most Probable Value.
Law’s of Weights
⇒ ‘Weight’ is a numerical value a singed to a measurement on the basic of degree of precision & adopted which represent important of reading.
⇒ Weight of measurement is inversely propositional to error.
⇒ The weight of the arithmetic mean of a number of observations of unit weight is equal to the number of observations.
For example, if an angle P is measured three times and the values are obtained as below:
1. | 40 30’20” | weight 1 |
2. | 40°30′15″ | weight 1 |
3. | 40°30’10” | weight 1 |
Sum= 121°30′45′’ |
Arithmetic mean = (121°30′45′’)/3= 40°30’15”
The arithmetic mean 40°30’15” will have weight 3.
⇒ The weight of the weighted arithmetic mean is equal to the sum of individual weights.
For example, if an angle P has the following values.
1. | 40 30’5″ | weight 1 |
2. | 40°30′7″ | weight 2 |
3. | 40°30′10″ | weight 3 |
Weighted Arithmetic mean ={(40°30’5″)×1 + (40°30′7″)×2 + (40°30′10″)×3}/( 1+2+3)= {243°0’22”}/6 = {40°30’3.6”}
The weighted arithmetic mean 40°30’3.6” will have weight 6.
⇒ If measurement x1 is a which taken weight w1 & measurement, x2 is a which taken weight w2 than weight of result & k is factor, for various operation are found as:
Result | Weight of Result |
x1 +x2 | \(\frac{1}{\frac{1}{w_1}+\frac{1}{w_2}}\) |
\(\frac{x_1}{k}\) | w1·k2 |
x1·k | \(\frac{w_1}{k^{2}}\) |
x1 + k x1 -k k-x1 | w1 |
Probable Error
If for a single quantity multiple measurement are taken as x1, x2, … xn with weight w1, w2, …wn. and the MVP= \(\bar{x}\) then probable error can be calculated as.
1.Probable Error in Single Measurements
\(E_s=\pm 0.6745\sqrt{\frac{\Sigma w_n(x_n-\bar{x})^{2}}{(n-1)}}\)2.Probable Error in Mean (MPV)
\(E_m=\pm 0.6745\sqrt{\frac{\Sigma w_n(x_n-\bar{x})^{2}}{(n-1)\Sigma w_n}}\).
\(E_{m}=\frac{E_s}{\sqrt{\Sigma w_n}}\).
3.Probable Error of Single Measurement of Weight
\(E_{sw}=\pm 0.6745\sqrt{\frac{\Sigma w_n(x_n-\bar{x})^{2}}{(n-1)w_o}}\)\(E_{sw}=\frac{E_s}{\sqrt{w_o}}\).
NOTE: For all measurement have unit weight. \(\Sigma w_n=1\)
Error In Computed Result
If a quantity is expressed in digit then first and -1 digit are certain and last digit is least accurate.
Error in quantity can be assumed as
x= 25.34
then Possible Error or Max error (∂x)= ±0.005
and Probable error (ex)= ±0.0025
For better understanding more example are taken
1. | x = 34.55 | ∂x= ±0.005 ex= ±0.0025 |
2. | y= 56.5 | ∂y= ±0.05 ey= ±0.025 |
3. | y= 352.5 | ∂y= ±0.05 ey= ±0.025 |
Various operation are found as
Result [s] | Possible Error or Max Error [∂s] | Probable Error [es] |
s = [x+y] | ∂s = ± [∂x +∂y] | es = ±\(\sqrt{ex^{2}+ey^{2}}\) |
s = [x-y] | ∂s = ± [∂x +∂y] | es = ±\(\sqrt{ex^{2}+ey^{2}}\) |
s = [x×y] | ∂s = ± [x·∂y +y·∂x] | es = ±s\(\sqrt{(\frac{ex}{x})^{2}+(\frac{ey}{y})^{2}}\) |
s = [x/y] | ∂s = ± \(\frac{\partial x}{\partial y}+x\frac{\partial y}{\partial y^{2}}\) | es = ±s\(\sqrt{(\frac{ex}{x})^{2}+(\frac{ey}{y})^{2}}\) |
Question: The side of a square land was measured as 150 m and is in error by 0.05m. what is the corresponding error in the computed area of the land?
Given :
∂a= 0.05m
∂A=?
A= a2
∂A= 2·a·∂a = 2×150×0.05= 15m2