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!
Quantity | SI Unit | Symbol |
---|---|---|
Mass | Kilogram | kg |
Distance | Meter | m |
Time | Second | s |
Electric current | Ampere | A |
Amount of substance | Mole | mol |
Temperature | Kelvin | K |
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
Prefix | Abbreviation | Value |
---|---|---|
peta | P | 1015 |
tera | T | 1012 |
giga | G | 109 |
mega | M | 106 |
kilo | k | 103 |
hecto | h | 102 |
deca | da | 101 |
deci | d | 10-1 |
centi | c | 10-2 |
milli | m | 10-3 |
micro | μ | 10-6 |
nano | n | 10-9 |
pico | p | 10-12 |
femto | f | 10-15 |
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.
Distance | Magnitude (m) | Order of magnitude |
---|---|---|
Diameter of the observable universe | 1026 | 26 |
Diameter of the Milky Way galaxy | 1021 | 21 |
Diameter of the Solar System | 1013 | 13 |
Distance to the Sun | 1011 | 11 |
Radius of the Earth | 107 | 7 |
Diameter of a hydrogen atom | 10-10 | 10 |
Diameter of a nucleus | 10-15 | 15 |
Diameter of a proton | 10-15 | 15 |
Mass | Magnitude | Order of magnitude |
---|---|---|
The universe | 1053 | 53 |
The Milky Way galaxy | 1041 | 41 |
The Sun | 1030 | 30 |
The Earth | 1024 | 24 |
A hydrogen atom | 10-27 | -27 |
An electron | 10-30 | -30 |
Time | Magnitude (s) | Order of magnitude |
---|---|---|
Age of the universe | 1017 | 17 |
One year | 107 | 7 |
One day | 105 | 5 |
An hour | 103 | 3 |
Period of heartbeat | 100 | 0 |
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 Error | Systematic 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 error | Examples: Equipment calibration error such as the zero offset error, incorrect method of measurement |
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 uncertainty | Δx |
Fractional uncertainty | Δx / x |
Percentage uncertainty | Δx / x * 100% |
Calculating with uncertainties
Addition/Subtraction | y = a±b | Δy=Δa+Δb (sum of absolute uncertainties) |
Multiplication/Division | y = a×b or y = a÷b | Δy/y=Δa/a+Δb/b (sum of fractional uncertainties) |
Power | y = an | Δy/y=|n|Δa/a (|n| times fractional uncertainty) |
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
Scalar | Vector |
A quantity that is defined by its magnitude only. | A quantity that is defined by both is magnitude and direction. |
Examples: distance, speed, time, energy | Examples: displacement, velocity, acceleration, force |
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.
Relationship | Type of graph | Slope | y-intercept |
---|---|---|---|
y=mx+c | y against x | m | c |
y=kxn | log(y) against log(x) | n | log(k) |
y=kxn+c with n given | y against xn | k | c |