Topic 1: Measurements and uncertainties

1.1 – Measurements in physics

Fundamental and derived SI units

There are seven fundamental SI units, but only six are used in the course. The seventh is a measure of luminous intensity, the Candela (cd). You need to memorise these!

QuantitySI UnitSymbol
MassKilogramkg
DistanceMeterm
TimeSeconds
Electric currentAmpereA
Amount of substanceMolemol
TemperatureKelvinK
Fundamental SI units used in IB physics

Derived units are combinations of fundamental units. Some examples are:

  • ms-1 (Unit for velocity)
  • N (kgms-2) (Unit for force)
  • J (kgm2s-2) (Unit for energy)
Scientific notation and metric multipliers

In scientific notation, values are written in the form a×10n, where a is a number between 1 and 10 and n is an integer. Some examples are:

  • The speed of light is 300,000,000 (ms-1). In scientific notation, this is expressed as 3×108
  • A centimeter (cm) is 1/100 of a meter (m). In scientific notation, one cm is expressed as 1×10-2 m.

The prefixes, abbreviations, and values are given to you in the physics data booklet nevertheless you should try to get familiar with them

PrefixAbbreviationValue
petaP1015
teraT1012
gigaG109
megaM106
kilok103
hectoh102
decada101
decid10-1
centic10-2
millim10-3
microμ10-6
nanon10-9
picop10-12
femtof10-15
Metric multipliers
Significant figures

For a certain value, all figures are significant, except leading zeros and trailing zeros if this value does not have a decimal point, for example:

  • 12300 has 3 significant figures. The two trailing zeros are not significant.
  • 012300 has 5 significant figures. The two leading zeros are not significant. The two trailing zeros are significant.
  • 4.6340 has 5 signficant figures. The trailing zero is significant.

When multiplying or dividing numbers, the number of significant figures of the result value should not exceed the least precise value of the calculation.

The number of significant figures in any answer should be consistent with the number of significant figures of the given data in the question.

  • In multiplication or division, give the answer to the lowest significant figure (S.F.).
  • In addition or subtraction, give the answer to the lowest decimal place (D.P.).
Orders of magnitude

Orders of magnitude are given in powers of 10, likewise those given in the scientific notation section previously. They are used to compare the size of physical data.

DistanceMagnitude (m)Order of magnitude
Diameter of the observable universe102626
Diameter of the Milky Way galaxy102121
Diameter of the Solar System101313
Distance to the Sun101111
Radius of the Earth1077
Diameter of a hydrogen atom10-1010
Diameter of a nucleus10-1515
Diameter of a proton10-1515
Distance order of magnitudes

MassMagnitudeOrder of magnitude
The universe105353
The Milky Way galaxy104141
The Sun103030
The Earth102424
A hydrogen atom10-27-27
An electron10-30-30
Mass order of magnitudes

TimeMagnitude (s)Order of magnitude
Age of the universe101717
One year1077
One day1055
An hour1033
Period of heartbeat1000
Time order of magnitudes
Estimation

Estimations are usually made to the nearest power of 10. Some examples are given in the tables in the orders of magnitude section.

1.2 – Uncertainties and errors

Random and systematic errors
Random ErrorSystematic Error
Caused by fluctuations in measurements centred around the true value (spread).Caused by fixed shifts in measurements away from the true value.
Can be reduced by averaging over repeated measurements.Cannot be reduced by averaging over repeated measurements.
Not caused by bias.Caused by bias.
Examples: Fluctuations in room temperature, the noise in circuits, human errorExamples: Equipment calibration error such as the zero offset error, incorrect method of measurement
Types of errors

Absolute, fractional and percentage uncertainties

Physical measurements are sometimes expressed in the form x±Δx. For example, 10±1 would mean a range from 9 to 11 for the measurement.

Absolute uncertaintyΔx
Fractional uncertaintyΔx / x
Percentage uncertaintyΔx / x * 100%
Expression of uncertainities

Calculating with uncertainties
Addition/Subtractiony = a±bΔy=Δa+Δb (sum of absolute uncertainties)
Multiplication/Divisiony = a×b or y = a÷bΔy/y=Δa/a+Δb/b (sum of fractional uncertainties)
Powery = anΔy/y=|n|Δa/a (|n| times fractional uncertainty)
Uncertainty calculations
Error bars

Error bars are bars on graphs that indicate uncertainties. They can be horizontal or vertical with the total length of two absolute uncertainties.

Uncertainty of gradient and intercepts

Line of best fit: The straight line drawn on a graph so that the average distance between the data points and the line is minimized.

Maximum/Minimum line: The two lines with maximum possible slope and minimum possible slope given that they both pass through all the error bars.

The uncertainty in the intercepts of a straight line graph: The difference between the intercepts of the line of best fit and the maximum/minimum line.

The uncertainty in the gradient: The difference between the gradients of the line of best fit and the maximum/minimum line.

1.3 – Vectors and scalars

Vector and scalar quantities
ScalarVector
A quantity that is defined by its magnitude only.A quantity that is defined by both is magnitude and direction.
Examples: distance, speed, time, energyExamples: displacement, velocity, acceleration, force
Scalar and vector quantities

Combination and resolution of vectors

Vector addition and subtraction can be done by the parallelogram method or the head to tail method. Vectors that form a closed polygon (cycle) add up to zero. When resolving vectors in two directions, vectors can be resolved into a pair of perpendicular components.

The relationship between two sets of data can be determined graphically.

RelationshipType of graphSlopey-intercept
y=mx+cy against xmc
y=kxnlog(y) against log(x)nlog(k)
y=kxn+c with n giveny against xnkc
Graphing various types of relationships
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