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Units and Errors

Physical Quantities and SI Units

The International System of Units (SI) classifies physical quantities into Base Quantities, Derived Quantities, and Supplementary Units to provide a universal standard for measurement.
Force is derived from Newton's Second Law, showing how derived units combine base units.
=Force(newtons (N))
=Mass(kilograms (kg))
=Acceleration(metres per second squared (m/s²))
deriving Pressure units
deriving Energy units
Base Quantities: Seven fundamental building blocks: length (m), mass (kg), time (s), current (A), temperature (K), intensity (cd), and amount (mol).
Derived Quantities: Combinations of base units, such as Force () or Pressure ().
Scientific Notation: Standardized format using powers of ten with exactly one non-zero digit to the left of the decimal.

The Seven SI Base Units

Length → metre (m)
Mass → kilogram (kg)
Time → second (s)
Electric Current → ampere (A)
Temperature → kelvin (K)
Luminous Intensity → candela (cd)
Amount of Substance → mole (mol)

Common SI Prefixes

From largest to smallest

giga (G) = 10⁹
mega (M) = 10⁶
kilo (k) = 10³
centi (c) = 10⁻²
milli (m) = 10⁻³
micro (µ) = 10⁻⁶
nano (n) = 10⁻⁹
pico (p) = 10⁻¹²
Supplementary units describe purely geometric quantities: the Radian for plane angles and the Steradian for solid angles.
The radian is defined by the ratio of arc length to radius.
=Plane angle(radians (rad))
=Arc length(meters (m))
=Radius(meters (m))
Full circle is radians
Steradian (sr): Subtended at center of sphere by area . Total solid angle of a sphere is sr.

Precision, Accuracy, and Errors

Experimental results differ from true values due to Random Error, caused by unknown fluctuations, and Systematic Error, caused by faulty calibration or technique.
Accuracy vs. Precision VisualizedA four-quadrant target board showing the difference between systematic and random errors through the concepts of accuracy and precision.High Accuracy / Low Precision(Random Errors present)High Accuracy / High Precision(Ideal Measurement)Low Accuracy / High Precision(Systematic Errors present)Low Accuracy / Low Precision(Unreliable Results)% Uncertainty = (Absolute Uncertainty / Measured Value) × 100%
Accuracy: How close a measurement is to the true value; limited by systematic error.
Precision: How consistent repeated measurements are; limited by Least Count and random error.
Parallax Error: Always read measurements with eye perpendicular to scale to avoid systematic offset.
Quantifying the reliability of data through absolute, fractional, and percentage uncertainties.
Relates the instrument's limitation to the magnitude of the measured quantity.
=Absolute uncertainty (usually least count)(same as $x$)
=Measured value(variable)
is very small
Percentage uncertainty becomes very high for a fixed instrument.
using
Products/Quotients: ADD percentage uncertainties. .
Sums/Differences: ADD absolute uncertainties. .
Powers: Multiply percentage uncertainty by the power. .
Precision ≠ Accuracy: A vernier caliper (least count 0.01 cm) is more precise than a metre rule (0.1 cm), but measuring a small object like 0.45 cm gives 2% uncertainty — less accurate than 25.5 cm with a metre rule (0.4% uncertainty).

Rules of Significant Figures

Significant Figures include all accurately known digits plus the first Doubtful Digit, indicating the precision of a measurement.
Leading Zeros: Never significant (e.g., 0.002 has 1 sig fig).
Trapped Zeros: Always significant (e.g., 2.002 has 4 sig figs).
Trailing Zeros: Significant only if a decimal is present (e.g., 2.30 has 3, 230 has 2).
Scientific Notation Clarity: In kg, the digits 8, 7, 0 are all significant (3 sig figs). Powers of ten are NOT counted as significant figures.
Ambiguous Integers: 8000 kg could have 1, 2, 3, or 4 sig figs depending on instrument precision. Writing kg makes it unambiguous (3 sig figs).
Maintaining precision consistency during calculations requires specific rounding rules for addition/subtraction and multiplication/division.
Multiplication/Division: Result keeps the same number of sig figs as the Least Accurate Factor.
Addition/Subtraction: Result keeps the same number of Decimal Places as the least precise term.
When the digit to be dropped is exactly 5, follow the even-odd convention to avoid systematic bias in large datasets.
The 'round half to even' rule prevents statistical bias when rounding many numbers.
=Last retained digit is even (0, 2, 4, 6, 8)(N/A)
=Last retained digit is odd (1, 3, 5, 7, 9)(N/A)
2.345 to 3 sig figs
Last retained digit is 4 (even), so round to 2.34
2.355 to 3 sig figs
Last retained digit is 5 (odd), so round to 2.36
4.650 to 2 sig figs
Last retained digit is 6 (even), so round to 4.6
4.750 to 2 sig figs
Last retained digit is 7 (odd), so round to 4.8
Why This Rule: If we always rounded 5 up, averaging many rounded numbers would show upward bias. Even-odd balances this.