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Significant Figures

Significant figures (sig figs) are the meaningful digits in a number that contribute to its precision. They are used in science and engineering to communicate how accurately a value has been measured.

Rules for Counting Significant Figures

RuleExampleSig Figs
All non-zero digits are significant4,7824
Zeros between non-zero digits are significant5,0084
Trailing zeros after a decimal point are significant3.5004
Leading zeros (before the first non-zero digit) are NOT significant0.00422
Trailing zeros in a whole number (ambiguous without decimal point)3,600 (ambiguous)2, 3 or 4

Rounding to Significant Figures

  1. Count from the first non-zero digit to the required number of sig figs.
  2. Look at the next digit: if 5–9, round up; if 0–4, round down.
  3. Replace all subsequent digits with zeros (whole numbers) or drop them (decimals).

Worked Examples

NumberRound toResult
73,4623 sig figs73,500
0.0048262 sig figs0.0048
9.99754 sig figs10.00
150,8003 sig figs151,000

Why Significant Figures Matter

Suppose you measure a room as 5 m wide and a tile as 0.3 m. Dividing: 5 ÷ 0.3 = 16.666... – but your measurement was only accurate to 1 sig fig, so the answer should be stated as 17, not 16.666.

Significant figures ensure that a calculated answer does not claim more accuracy than the original measurements justify.

Key Points
  • Non-zero digits are always significant.
  • Zeros between non-zeros are always significant.
  • Leading zeros are never significant.
  • Trailing zeros after the decimal point are significant.
  • When rounding, do not claim more sig figs than your least precise measurement.

Quick Practice

  1. How many significant figures does 0.00503 have?
  2. Round 86,350 to 2 significant figures.
  3. How many sig figs in 4.700?
  4. Round 0.09846 to 3 significant figures.
  5. A scientist records 1.20 kg. How many significant figures is this?

Summary

Significant figures express the precision of a measurement. By carefully counting and rounding to the correct number of sig figs, scientists and engineers avoid overstating the accuracy of their results. Mastering sig figs is essential for chemistry, physics, engineering, and any data-driven field.

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