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Chapter 1: Physical Quantities and Measurement
1. Physical Quantities
A physical quantity is a property of a material or system that can be quantified by measurement.
Examples: Length, Mass, Time, Force, etc.2. Types of Physical Quantities
Type Definition Examples Fundamental Independent, base quantities Length (m), Mass (kg), Time (s) Derived Expressed in terms of fundamental units Velocity (m/s), Force (N) Scalar Only magnitude Mass, Temperature, Energy Vector Magnitude + Direction Force, Velocity, Acceleration 3. Fundamental (Base) Quantities & Their SI Units
The SI system has 7 fundamental quantities:
Quantity SI Unit Symbol Length meter m Mass kilogram kg Time second s Electric Current ampere A Temperature kelvin K Amount of Substance mole mol Luminous Intensity candela cd 4. Derived Quantities & Their Units
Derived from fundamental quantities.
Quantity Formula SI Unit Symbol Force F = ma newton (N) kg·m/s² Energy E = F × d joule (J) kg·m²/s² Power P = E/t watt (W) J/s Pressure P = F/A pascal (Pa) N/m² Velocity v = d/t m/s m·s⁻¹ 5. Scientific Notation & Prefixes
Used to express very large/small numbers.
Prefix Symbol Multiplier pico p 10⁻¹² nano n 10⁻⁹ micro μ 10⁻⁶ milli m 10⁻³ kilo k 10³ mega M 10⁶ giga G 10⁹ Example:
1 μm = 10⁻⁶ m
1 GHz = 10⁹ Hz
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6. Dimensional Analysis
Used to check equations and derive relationships.
Dimensions of fundamental quantities:[Length] = L
[Mass] = M
[Time] = T
Example:
Force = mass × acceleration
→ [F] = [M][LT⁻²] = MLT⁻²7. Significant Figures
Rules for counting significant digits:
Non-zero digits are always significant.
Zeros between non-zero digits are significant.
Leading zeros are not significant.
Trailing zeros after a decimal are significant.
Example:
0.0045 → 2 significant figures
3.400 → 4 significant figures
8. Errors in Measurement
Error Type Definition Systematic Consistent, due to instrument/fault Random Unpredictable, due to fluctuations Absolute Difference between measured & true Relative (Absolute error / True value) × 100 9. Accuracy vs Precision
Term Meaning Accuracy Closeness to the true value Precision Closeness of repeated measurements Key Formulas
Percentage Error =
Relative Error =
