Units and Measurements - Revised NCERT based notes Class 11 Physics Chapter 2
2. UNITS AND MEASUREMENTS
2.1 INTRODUCTION
Units: The certain basic, arbitrarily chosen, internationally accepted reference standards are called units. Example : kilogram, metre, metre per second, etc.
Measurement: The comparision of a physical quantity with a certain basic, arbitrarily chosen, internationally accepted reference standard is called its measurement.
Classification of units:
(i) Fundamental or base units: The units for the fundamental or base quantities are called Fundamental or base units. They are not derived from/independent on other units. Example : metre, kilogram, second, etc.
(ii) Derived units: The units which can be expressed as the combination of the base units are called derived units. Example : metre per second, kilogram metre per square of second, etc.
NOTE : The complete set of these units, both the base units and derived units, is known as the system of units.
(ii) Derived units: The units which can be expressed as the combination of the base units are called derived units. Example : metre per second, kilogram metre per square of second, etc.
NOTE : The complete set of these units, both the base units and derived units, is known as the system of units.
2.2 THE INTERNATIONAL SYSTEM OF UNITS
International System of Units (SI) : The system of units which is internationally aceepted for measurement at present is the International System of Units abbreviated as SI from the French name Le Systeme International d' Unites.
➤The SI system has seven base units as given in Table 2.1.
Table 2.1: SI Base quantities and Units (Their definitions are available on detailed notes. click here...)
Basic quantity | SI Units | ||
---|---|---|---|
Name | Symbol | ||
Length | metre | m | |
Mass | kilogram | kg | |
Time | second | s | |
Electric current | ampere | A | |
Thermo dynamic temperature | kelvin | K | |
Amount of substance | mole | mol | |
Luminous intensity | candela | cd |
NOTE : Beside these basic units, there are two more units that are defined for .
(i) Plane angle: The angle subtend by a given arc of a circle at its center is called plane angle. Its SI unit is radian.

Source:NCERT Book

Source:NCERT Book

Source:NCERT Book
Mathematically,
Plane angle (d$\theta$)=$\frac{arc\hspace{0.1cm}length(ds)}{radius(r)}$
(ii) Solid angle: The angle subtend by a given surface of a sphere at its center is called solid. Its SI unit is steradian.
Source:NCERT Book
Mathematically,
Solid angle (d$\Omega$)=$\frac{intercepted\hspace{0.1cm}area(dA)}{square\hspace{0.1cm}of\hspace{0.1cm}radius(r^2)}$
The earlier systems of units for measurement that were in use extensively till recently:
(i) CGS system : The base units for length, mass and time in this system are centimeter, gram and second respectively.
(ii) FPS system : The base units for length, mass and time in this system are foot, pound and second respectively.
(iii) MKS system : The base units for length, mass and time in this system are meter, kilogram and second respectively.
(ii) FPS system : The base units for length, mass and time in this system are foot, pound and second respectively.
(iii) MKS system : The base units for length, mass and time in this system are meter, kilogram and second respectively.
Table 2.2 : Some units retained for general use (Though outside SI) Available on detailed notes. click here...)
2.3 MEASUREMENT OF LENGTH
Methods of measurements:
(i) Direct Method: The method through which measurement of the target is done directly with measuring instruments like metre sacle, vernier calipers, screw gauge,etc is called direct method of measurements. For example :
(ii) Indirect method: The method through which measurement of the needed is done by using different measurements is called indirect method of measurements. For example :
- A metre scale is used for length from 10$^{-3}$ m to 10$^{2}$ m.
- A vernier callipers is used for lengths to an accuracy of 10$^{-4}$ m.
- A screw gauge and a spherometer can be used to measure lengths as less as to 10$^{-4}$ m.
(ii) Indirect method: The method through which measurement of the needed is done by using different measurements is called indirect method of measurements. For example :
- Measurement of large distance with parallax method.
2.3.1 Measurement of Large Distance
➤An important method that is used in measurement of large distances such as the distance of a planet or a star from the earth is Parallax Method.
Some important terms related to parallax method:
(i) Parallax : The displacement in the apparent position of an object as observed from two different points not on a straight line is called parallax.
(ii) Basis : The distance between the two points of observation is called basis.
(iii) Parallax angle/Parallatic angle : The angle between the two directions along which the object is observed from the two different points is called Parallax angle/Parallatic angle.
(ii) Basis : The distance between the two points of observation is called basis.
(iii) Parallax angle/Parallatic angle : The angle between the two directions along which the object is observed from the two different points is called Parallax angle/Parallatic angle.
Estimation of large distance by parallax method:

Source:NCERT Book
Say,
S : The planet to be observed.
A,B : The points of observation.
D : The distance of the planet that to be measured.
b : The basis.
$\theta$ : The parallax angle.
As the planet is very far away, $\frac{b}{D}$ << 1, and therefore $\theta$ is very small.
Then AB can be considered as arc of length b of a circle with centre at S and the radius D.
So,
S : The planet to be observed.
A,B : The points of observation.
D : The distance of the planet that to be measured.
b : The basis.
$\theta$ : The parallax angle.
As the planet is very far away, $\frac{b}{D}$ << 1, and therefore $\theta$ is very small.
Then AB can be considered as arc of length b of a circle with centre at S and the radius D.
So,
b = D $\theta$ => D = $\frac{b}{\theta}$
Estimation of angular size of a distant object by parallax method:

Say,
d : The diameter (AB) of the planet.
D : The distance of the end points of the diameter from point of observation (O).
$\alpha$ : The angular size of the planet.
Similarly,
d : The diameter (AB) of the planet.
D : The distance of the end points of the diameter from point of observation (O).
$\alpha$ : The angular size of the planet.
Similarly,
$\alpha$ = $\frac{d}{D}$ => d = D $\alpha$
2.3.2 Estimation of Very Small Distances : Size of a Molecule
➤ An electron microscope (resolution : 0.6A°) uses electron beam as waves focussed by properly designed electric and magnetic field and can almost resolve atoms and molecues in a material.
➤In recent time, a tunnelling microscope has ability to estimate the size of molecules.
Procedure for the formation of mono-molecular layer of oleic acid on water surface:
➤ Oleic acid is a soapy liquid with large molecular size of the order of 10$^{-9}$m.
(i) 1 cm$^3$ of oleic acid is dissolved in alcohol to make a solution of 20 cm$^3$.
(ii) Then 1 cm$^3$ of this solution is diluted to 20 cm$^3$ using alcohol making its concentration $ \frac{1}{20*20}$ cm$^3$ of oleic acid/cm$^3$.
(iii) Next, some lycopodium powder is sprinkled lightly on the surface of water in a large trough and one drop of this solution is put in the water.
(iv) Leave the oleic acid drop to spread into a thin, large and roughly circular film of molecular thickness on water surface.
Estimation of the molecular size/diameter of oleic acid: (Its derivation is available on detailed notes. click here...)
Say,
A : Area of the thin film of oleic acid solution formed on the water surface(in cm$^2$).
n : Number of drops of oleic acid solution dropped on the water surface.
V : Approximate volume of each drop of the solution(in cm$^3$).
The size/diameter of a molecule of oleic acid, d = $ \frac{nV}{20*20*A}$ cm
2.3.3 Range of Lengths
➤Has a wide range from the order of 10$^{-15}$m (size of a proton) to the order of 10$^{26}$m (size of observable universe).
Table 2.3 : Range and order of lenghts (More rows are available on detailed notes. click here...)
Size of object or distance | Length (m) |
---|---|
Size of a proton | 10$^{-15}$ |
Size of atomic nucleus | 10$^{-14}$ |
Distance to Andromeda galaxy | 10$^{22}$ |
Distance to the boundary of observable universe | 10$^{26}$ |
Table 2.4 : Certain special length units for short and large lengths
Name | Symbol | Value in SI unit |
---|---|---|
Fermi | f | 1f = 10$^{-15}$m |
Angstrom | A° | 1 A° = 10$^{-10}$m |
astronomical unit | AU | 1AU (average distance of the Sun from the Earth) = 1.496 x 10$^{11}$m |
light year | ly | 1 ly (distance that light travels with velocity of 3 x 10$^8$ ms$^{-1}$ in 1 year) = 9.46 x 10$^{15}$m |
parsec | 1 parsec (the distance at which average radius of earth's orbit subtends an angle of 1 arc second) = 3.08 x 10$^{16}$m |
2.4 MEASUREMENT OF MASS
➤ Mass of commonly available objects can be determined by a common balance.
➤ Large masses in the universe like planets, stars, etc., based on Newton's law of gravitation can be measured using gravitational method.
➤ For measurement of small masses of atomic/subatomic particles etc., we make use of mass spectrograph in which radius of the trajectory is proportional to the mass of a charged particle moving in uniform electric field and magnetic field.
NOTE : An important standard unit of mass called unified atomic mass unit is used in case of atoms and molecules.
1 unified atomic mass unit=1u
=(1/12) of the mass of an atom of carbon-12 isotope ($^{12}_6C$) including the mass of the electrons = 1.66 x 10$^{-27}$ kg
=(1/12) of the mass of an atom of carbon-12 isotope ($^{12}_6C$) including the mass of the electrons = 1.66 x 10$^{-27}$ kg
2.4.1 Range of masses
➤The masses of the objects vary over a very wide range. These may vary from tiny mass of the order of $10^{-30}$ kg of an electron to the huge mass of about $10^{55}$ kg of the known universe.
Table 2.5 : Range and order of masses (More rows are available on detailed notes. click here...)
Object | Mass (kg) |
---|---|
Electron | 10$^{-30}$ |
Proton | 10$^{-27}$ |
Milky way galaxy | 10$^{41}$ |
Observable universe | 10$^{55}$ |
2.5 MEASUREMENT OF TIME
Clock : The device that is used to measure time is called clock.
Cesium clock/Atomic clock : The clock in which an atomic standard of time is used and the second is taken as the time nedded for 9,192,631,770 vibrations of the radiation corresponding to the transition between the two hyperfine levels of the ground state of cesium-133 atom.
➤The efficient cesium atomic clock are so accurate that they impart the uncertainity in the time realisation as ±1x$10^{-13}$ (the maximum uncertainity gained/losed 3μs in one year) .
2.5.1 Range of time intervals
➤ Vary over a very wide range. These may vary from the time intervals of the order of $10^{-24}$ s of life - span of most unstable particle to the huge time intervals of order of $10^{17}$ s of age of the universe.
Table 2.6 : Range and order of time intervals (More rows are available on detailed notes. click here...)
Event | Time interval(s) |
---|---|
Life-span of most unstable particle | 10$^{-24}$ |
Time required for light to cross a nuclear distance | 10$^{-22}$ |
Time since dinosaurs became extinct | 10$^{15}$ |
Age of the universe | 10$^{17}$ |
2.6 ACCURACY, PRECISION OF INSTRUMENTS AND ERRORS IN MEASUREMENT
Accuracy : The accuracy of a measurement is a measure of how close the measured value is to the true value of the quantity.
Precision : Precision tells us to what resolution or limit the quantity is measured.
Error : The uncertainity contained in the result of a measurement is called error.
Classification of errors:
(1) Classification based on its cause:
Least count : The smallest value that can be measured by the measuring instrument is called its least count.
Least count error : The error associated with the resolution of the instrument is called least count error.
NOTE : Least count error belongs to the category of random errors but within a limited size; It occurs with both systematic and random errors.
(2) Classification based on its magnitude:
(i) Systematic errors : Those errors that tend to be in one direction, either positive or negative are called systematic errors. Their causes are known to us.
Sources of systematic errors:
Minimising of random errors:
Sources of systematic errors:
(a) Instrumental errors : Those errors that arise from the errors due to imperfect design or calibration of the measuring instrument, zero error in the instrument, etc. For example, the temperature graduations of a thermometer may be inadequately calibrated.
(b) Imperfection in experimental technique or procedure: Those errors that arise due to the effect of external conditions (such as changes in temperature, humidity, wind velocity, etc.) during the experiment. For example, the temperature of a human body read by a thermometer placed under the armpit will always give a temperature lower than actual value of the body temperature.
(c) Personal errors : Those errors that arise due to an individual's bias, lack of proper setting of the apparatus or individual's carelessness in taking observations without observing proper precautions, etc. For example, if you, by habit, always hold your head a bit too far to the right while reading the position of a needle on the scale, you will introduce an error due to parallax.
Minimising of systematic errors:(b) Imperfection in experimental technique or procedure: Those errors that arise due to the effect of external conditions (such as changes in temperature, humidity, wind velocity, etc.) during the experiment. For example, the temperature of a human body read by a thermometer placed under the armpit will always give a temperature lower than actual value of the body temperature.
(c) Personal errors : Those errors that arise due to an individual's bias, lack of proper setting of the apparatus or individual's carelessness in taking observations without observing proper precautions, etc. For example, if you, by habit, always hold your head a bit too far to the right while reading the position of a needle on the scale, you will introduce an error due to parallax.
➤These errors can be minimised by improving experimental techniques, selecting better instruments and removing personal bias as far as possible.
➤For a given set-up, these errors may be estimated to a certain extent and the necessary corrections may be applied to the readings.
(ii) Random errors: Those errors which occur irregularly and hence are random with respect to sign and size. Their causes are unknown to us and hence is not possible to remove them completely.➤For a given set-up, these errors may be estimated to a certain extent and the necessary corrections may be applied to the readings.
Minimising of random errors:
➤These errors can be minimised by repeating the observation a large number of times and taking the arithmetic mean of all the observations.The mean would be very close to the most accurate reading..
Say $a_1$, $a_2$, ... , $a_n$ be n number of observations and $a_{mean}$ be their arithmetic mean. Then
Say $a_1$, $a_2$, ... , $a_n$ be n number of observations and $a_{mean}$ be their arithmetic mean. Then
$a_{mean}$ = $ \frac{a_1+a_2+ ... +a_n}{n}$, or
$a_{mean}$ =$ \sum \limits_{i=1}^{n}a_{i}/n $
$a_{mean}$ =$ \sum \limits_{i=1}^{n}a_{i}/n $
Least Count Error :
Least count : The smallest value that can be measured by the measuring instrument is called its least count.
Least count error : The error associated with the resolution of the instrument is called least count error.
NOTE : Least count error belongs to the category of random errors but within a limited size; It occurs with both systematic and random errors.
(i) Absolut error : The magnitude of the difference between the individual measurement and the true value of the quantity is called the absolute error.
➤In absence of any other method of knowing true value, arithmatic mean is considered as true value.
Say $a_i$ be the $i^{th}$ observation and $a_{mean}$ be the arithmetic mean of all the observations and $|\Delta a_i|$ be the absolute error in $i^{th}$ observation. Then
➤The arithmetic mean of all the absolute errors is taken as the final or mean absolute error. So,
➤If we do a single measurement, the value we get may be in the range $a_{mean}$±$\Delta a_{mean}$
(ii) Relative error : The ratio of the mean absolute error to the mean value of the quantity measured is called relative error.
(iii) Percentage error : The relative error is expressed in percent, it is called percentage error.
➤In absence of any other method of knowing true value, arithmatic mean is considered as true value.
Say $a_i$ be the $i^{th}$ observation and $a_{mean}$ be the arithmetic mean of all the observations and $|\Delta a_i|$ be the absolute error in $i^{th}$ observation. Then
$|\Delta a_i|$ = $|a_i - a_{mean}|$
➤The arithmetic mean of all the absolute errors is taken as the final or mean absolute error. So,
mean absolute error,
$\Delta a_{mean}$ = $\sum \limits_{i=1}^n |\Delta a_i|/n$
$\Delta a_{mean}$ = $\sum \limits_{i=1}^n |\Delta a_i|/n$
➤If we do a single measurement, the value we get may be in the range $a_{mean}$±$\Delta a_{mean}$
i.e. a = $a_{mean}$±$\Delta a_{mean}$
or,
$a_{mean}$-$\Delta a_{mean} \leq a \leq$$a_{mean}$+$\Delta a_{mean}$
or,
$a_{mean}$-$\Delta a_{mean} \leq a \leq$$a_{mean}$+$\Delta a_{mean}$
(ii) Relative error : The ratio of the mean absolute error to the mean value of the quantity measured is called relative error.
Relative error = $\Delta a_{mean}/a_{mean}$
(iii) Percentage error : The relative error is expressed in percent, it is called percentage error.
Percentage error,
$\delta a$ = ($\Delta a_{mean}/a_{mean}$) x 100%
$\delta a$ = ($\Delta a_{mean}/a_{mean}$) x 100%
2.6.1 Combination of Errors
(a) Error of a sum or difference (Its derivation is available on detailed notes. click here...)
➤When two quantities are added or subtracted, the absolute error in the final result is the sum of the absolute errors in the individual quantities.
Say,
$\Delta A$, $\Delta B$, $\Delta Z$ : Absolute error in the mesaurement of the physical quantities A, B and Z respectively. And,
let Z = A ± B, Then,
$\Delta A$, $\Delta B$, $\Delta Z$ : Absolute error in the mesaurement of the physical quantities A, B and Z respectively. And,
let Z = A ± B, Then,
± $\Delta Z$ = ± $\Delta A$ ± $\Delta B$
The maximum value of the error $\Delta Z$ = $\Delta A$ + $\Delta B$
(b) Error of a product (Its derivation is available on detailed notes. click here...)
➤When two quantities are multiplied, the relative error in the final result is the sum of the relative errors in the individual quantities.
Say,
$\Delta A$, $\Delta B$, $\Delta Z$ : Absolute error in the mesaurement of the physical quantities A, B and Z respectively. And,
let Z = AB, Then,
$\Delta A$, $\Delta B$, $\Delta Z$ : Absolute error in the mesaurement of the physical quantities A, B and Z respectively. And,
let Z = AB, Then,
$\frac{\Delta Z}{Z}$ = ± ($\frac{\Delta A}{A}$ + $\frac{\Delta B}{B}$)
The maximum relative error $\frac{\Delta Z}{Z}$ = ($\frac{\Delta A}{A}$ + $\frac{\Delta B}{B}$)
(c) Error of a quotient (Its derivation is available on detailed notes. click here...)
➤When two quantities are divided, the relative error in the final result is the sum of the relative error in the individual quantities.
Say,
$\Delta A$, $\Delta B$, $\Delta Z$ : Absolute error in the mesaurement of the physical quantities A, B and Z respectively. And,
let Z = $\frac{A}{B}$, Then,
$\Delta A$, $\Delta B$, $\Delta Z$ : Absolute error in the mesaurement of the physical quantities A, B and Z respectively. And,
let Z = $\frac{A}{B}$, Then,
$\frac{\Delta Z}{Z}$ = ± ($\frac{\Delta A}{A}$ - $\frac{\Delta B}{B}$)
The maximum relative error $\frac{\Delta Z}{Z}$ = ($\frac{\Delta A}{A}$ + $\frac{\Delta B}{B}$)
(d) Error in case of a measured quantity raised to a power (Its derivation is available on detailed notes. click here...)
➤The relative error in a physical quantity raised to the power k is the k times the relative error in the individual quantity.
Say,
$\Delta A$, $\Delta Z$ : Absolute error in the mesaurement of the physical quantities A and Z respectively. And,
Let Z = $A^k$, Then,
$\Delta A$, $\Delta Z$ : Absolute error in the mesaurement of the physical quantities A and Z respectively. And,
Let Z = $A^k$, Then,
± $\frac{\Delta Z}{Z}$ = ± k($\frac{\Delta A}{A}$ )
The maximum relative error $\frac{\Delta Z}{Z}$ = k$\frac{\Delta A}{A}$
for Z = $\frac{A^k}{B^m}$
the maximum relative error $\frac{\Delta Z}{Z}$ = k$\frac{\Delta A}{A}$+ m$\frac{\Delta B}{B}$
for Z = $\frac{A^k}{B^m}$
the maximum relative error $\frac{\Delta Z}{Z}$ = k$\frac{\Delta A}{A}$+ m$\frac{\Delta B}{B}$
2.7 SIGNIFICANT FIGURES
Significant figures/digits : All reliable digits in a measurement plus the first uncertain digit together form significant figures.
Rules for counting significant figures:
(i) All the non-zero digits are significant. For example, in 2457 has four significant digits.
(ii) All the zeroes between two non-zero digits are significant, no matter where the decimal point is, if at all. For xample, both 6034 and 3.024 has 4 significant figures.
(iii) If the number is less than 1, the zero(s) on the right of decimal point but to the left of the first non-zero digit are not significant. For example, in 0.00 2308, the underlined zeroes are not significant.
(iv) The terminal or trailing zero(s) in a number without a decimal point are not significant. For example, 123000 has 3 significant figures. When some value is recorded on the basis of actual measurement, then the terminal or trailing zero(s) in a number without a decimal point are significant. For example, the length is reported to be 4700mm in a measurement, here 4700mm has 4 significat figures.
(v) The terminal or trailing zero(s) in a number with a decimal point are significant. For example, 1.500 has 4 significant figures.
(vi) Change in the units of measurement of a quantity does not change the number of significant figures. For example, 123m = 12300cm both 123m and 12300cm has 3 significant figures
(vii) The power of ten in scientific notation are not significant. For example, 1.40 x $10^5$ (scientific notation) has 3 significant figures.
(viii) The multiplying or dividing factors which are neither rounded numbers nor numbers representing measured values are exact numbers and have infinite number of significant digits. For example in r=d/2 or s=2$\pi$r, the factor is an exact number and it can be written as 2.0, 2.00,... and hence has infinite number of significant digits.
NOTE :There can be confusion regarding trailing zero(s) as discussed in (iv). To remove such confusion, the best way is to report the measurement in scientific notation [the number expressed as a x $10^b$, where 1$\leq$a < 10 and b is a poitive or negative exponent called order of magnitude].
(ii) All the zeroes between two non-zero digits are significant, no matter where the decimal point is, if at all. For xample, both 6034 and 3.024 has 4 significant figures.
(iii) If the number is less than 1, the zero(s) on the right of decimal point but to the left of the first non-zero digit are not significant. For example, in 0.00 2308, the underlined zeroes are not significant.
(iv) The terminal or trailing zero(s) in a number without a decimal point are not significant. For example, 123000 has 3 significant figures. When some value is recorded on the basis of actual measurement, then the terminal or trailing zero(s) in a number without a decimal point are significant. For example, the length is reported to be 4700mm in a measurement, here 4700mm has 4 significat figures.
(v) The terminal or trailing zero(s) in a number with a decimal point are significant. For example, 1.500 has 4 significant figures.
(vi) Change in the units of measurement of a quantity does not change the number of significant figures. For example, 123m = 12300cm both 123m and 12300cm has 3 significant figures
(vii) The power of ten in scientific notation are not significant. For example, 1.40 x $10^5$ (scientific notation) has 3 significant figures.
(viii) The multiplying or dividing factors which are neither rounded numbers nor numbers representing measured values are exact numbers and have infinite number of significant digits. For example in r=d/2 or s=2$\pi$r, the factor is an exact number and it can be written as 2.0, 2.00,... and hence has infinite number of significant digits.
NOTE :There can be confusion regarding trailing zero(s) as discussed in (iv). To remove such confusion, the best way is to report the measurement in scientific notation [the number expressed as a x $10^b$, where 1$\leq$a < 10 and b is a poitive or negative exponent called order of magnitude].
2.7.1 Rules for Arithmetic Operations with Significant Figures
(i) In multiplication or division, the final result should retain as many significant figures as are there in the original number with the least significant figures. For example, say mass=4.237 g (four signifacnt figures) and volume be 2.51 $cm^3$ (3 significant figures), then its density should be reported to 3 significant figures as 1.69 g $cm^{-3}$
(ii) In addition or subtraction, the final result should retain as many decimal places as are there in the number with the least decimal places. For example, the sum of the numbers 436.32, 227.2 and 0.301 should be evaluated as 663.8 g because the least precise measurement (227.2 g) is correct to only one decimal place.
Similarly, 12.9 - 7.06 should be evaluated as 5.8g.
While 0.347 m - 0.344m should be evaluated as 0.003m=3 x $10^{-3}$m.
NOTE : In the last example, it should not be evaluted as 3.00 x $10^{-3}$m because it does convey the precision of measurement properly. For addition and subtraction, the rule is in terms of decimal places
2.7.2 Rounding off the Uncertain Digits
(i) The preceding digit is raised by 1 if the insignificant digit to be dropped is more than 5, and is left unchanged if the latter is less than 5. For example 2.746 rounded off to 3 significant figures is 2.75, while 2.743 would be 2.74.
(ii) If the preceding digit is even, the insignificant digit is simply dropped and, if it is odd, the preceding digit is raised by 1. For example, 2.745 rounded off to 3 significant figures is 2.74 while 2.715 would be 2.72.
2.7.3 Rules for Determinig the Uncertainity in the results of Arithmatic Calculations
(i) If a set of experimental data is specified to n significant figures, a result obtained by combining the data will also valid to n significant figures. For example, if l=16.2 ± 0.1 cm and b=10.1 ± 0.1 cm, then A=lb=163.62 ± 2.6 $cm^2$ but it will be valid upto 164 ± 3 $cm^2$
(ii) Intermediate results in a multi-step computation should be calculated to one more significant figure in every measurement than the number of digits in the least precise measurement to avoid rounding errors. For example, the reciprocal of 9.58, calculated (after rounding off) to the same number of significant figures (3) is 0.104, but the reciprocal of 0.104 calculated to 3 significant figures is 9.62. However, if we had wriiten 1/9.58=0.1044 and then taken the reciprocal to 3 significant figures, we would have retrived the original value of 9.58.
2.8 DIMENSIONS OF PHYSICAL QUANTITIES
Dimensions of a physical quantity : The dimensions of a physical quantity are the powers (or exponents) to which the base quantities are raised to represent that quantity (denoted with square brackets, [ ]). For example, force=mass*acceleration=mass*(length)/$(time)^2$=>the dimensions of force are $[MLT^{-2}]$.
2.9 DIMENSIONAL FORMULAE AND DIMENSIONAL EQUATIONS
Dimensional formulae : The expression which shows how and which of the base quantities represent the dimensions of a physical quantity is called the dimensional formula of the given physical quantity. For example, the dimensional formula of the volume is $[M^0L^3T^0]$.
Dimensional equation : An equation obtained by equating a physical quantity with its dimensional formulae is called the dimensional equation of the physical quantity. For example, [V]=$[M^0L^3T^0]$
2.10 DIMENSIONAL ANALYSIS AND ITS APPLICATIONS
Dimensional analysis : Dimensional analysis describes the the relationships between different physical quantities based on their basic units and dimensions.
Its application:
(i) Checking the dimensional consistency of equation : If the dimensions of each term on both sides of a equation are same, then it is called dimensionally correct/consistent equation and this type of equation need not be actually a correct equation but a dimensionally wrong or inconsistent equation must be wrong.
Principle of homogeneity of dimensions: This principle states that the dimessions of all the terms in a physical equation should be same. For example, in the physical expression $x=x_0+v_0t+(1/2)at^2$, the dimession of $x, x_0, v_0t and (1/2)at^2$ all are same.
(ii) Deducing relation among the physical quantities. .
Principle of homogeneity of dimensions: This principle states that the dimessions of all the terms in a physical equation should be same. For example, in the physical expression $x=x_0+v_0t+(1/2)at^2$, the dimession of $x, x_0, v_0t and (1/2)at^2$ all are same.
(ii) Deducing relation among the physical quantities. .
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