General Chemistry I · Matter, Energy & Measurement

Accuracy, Precision, and Significant Figures

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On this page 7 sections
  1. In 30 seconds
  2. Why this matters
  3. The college version
  4. Eli explains
  5. Key takeaway
  6. Study tools
  7. Sources & references

In 30 seconds

Every measurement carries uncertainty — the limit of how well an instrument and a person can read a value. Two separate qualities describe measurement quality: accuracy, how close a result is to the accepted (true) value, and precision, how closely repeated measurements agree with one another. Because a calculated answer cannot be more certain than the least-certain measurement that went into it, chemists use significant figures ("sig figs") to report just the digits that are meaningful and no more. The rules differ depending on the operation: multiplication/division are governed by the number of significant figures, while addition/subtraction are governed by the decimal place of the least-precise term.

Why this matters

Significant figures are the honesty system of measurement: they tell a reader exactly how much you actually know. Reporting 2.5333 g/mL for a volume measured to only 2 sig figs would claim precision your instruments never had. In medicine, engineering, and research, mis-stating precision can overstate confidence in a drug dose, a structural load, or a published result — so sig-fig discipline is a core scientific literacy skill, not just a grading rule.

The college version

Key Ideas

  • Accuracy = nearness to the true value (systematic error pulls results consistently off-target).
  • Precision = agreement among repeated measurements (random error scatters results).
  • Exact numbers (counted objects, defined conversions like 100 cm = 1 m) have unlimited significant figures and never limit rounding.
  • Measured numbers are limited by instrument resolution; the last digit is estimated (uncertain).
  • Significant-figure rules for zeros:
    • Leading zeros are never significant (0.0032 → 2 sig figs).
    • Captive (interior) zeros are always significant (2008 → 4 sig figs).
    • Trailing zeros are significant only if there is a decimal point (25.00 → 4; 2500 → 2, ambiguous).
  • Scientific notation removes ambiguity: 2.5 × 10³ (2 sig figs) vs. 2.500 × 10³ (4 sig figs).

Equations and Variables

This topic has rules, not equations, but two formulas frame them:

Rounding for multiplication/division: report the answer with the same number of significant figures as the factor having the fewest significant figures.

Rounding for addition/subtraction: report the answer with the same number of decimal places as the term having the fewest decimal places.

Intermediate (non-final) steps should be carried with at least one extra digit and rounded only at the end.

How It Works or Problem-Solving Method

Counting significant figures:

  1. If the number has a decimal point, start at the first nonzero digit and count everything to the right of it (0.05040 → 4 sig figs).
  2. If there is no decimal point, count from the first nonzero digit and stop at the last nonzero digit, treating trailing zeros as ambiguous (1500 → 2, or 3, or 4 — rewrite as 1.5 × 10³ to be clear).

Rounding rules:

  • If the digit after the last kept digit is < 5, round down; if > 5, round up.
  • If it is exactly 5 (or 5 followed only by zeros), round to the nearest even kept digit (banker's rounding), e.g., 2.35 → 2.4 and 2.45 → 2.4, to avoid systematic bias.

Choosing the rule: identify the operation first — multiply/divide → count sig figs; add/subtract → count decimal places. Mixed problems are done stepwise, rounding only at the very end.

Worked Example

Problem 1 (multiplication/division): Compute the density of a sample with m = 5.32 g and V = 2.1 mL.

d = m/V = 5.32 / 2.1 = 2.5333… g/mL → round to 2 significant figures (2.1 has the fewest): 2.5 g/mL.

Problem 2 (addition/subtraction): Add 12.11 g + 0.3 g + 1.234 g.

Raw sum = 13.644 g. The term 0.3 g is known only to the tenths place, so the answer must stop at the tenths place: 13.6 g.

Problem 3 (sig-fig counting): Count sig figs in (a) 0.00450, (b) 1080, (c) 1.080 × 10³.

(a) Leading zeros don't count; "450" → 3 sig figs (trailing zero counts because a decimal point is present). (b) "1080" with no decimal → the trailing zero is ambiguous; treat as 3 sig figs unless written in scientific notation. (c) 1.080 × 10³ → 4 sig figs (the trailing zero after the decimal point is significant).

Problem 4 (exact number): How many sig figs does "3 beakers" contribute to a calculation? None — a counted number is exact and has infinite sig figs, so it never limits the answer.

Common Confusions

  • "0.00450 has five significant figures." Wrong — leading zeros are placeholders and never count; it has three (4, 5, and the trailing 0).
  • "Precise data is automatically accurate." Wrong — a miscalibrated instrument can give a tight, reproducible but consistently wrong cluster (high precision, low accuracy).
  • "For addition I round to the fewest significant figures." Wrong — addition/subtraction follows the fewest decimal places, not sig figs (13.644 g → 13.6 g, not 14 g).
  • "2500 has four significant figures." Wrong — without a decimal point the trailing zeros are ambiguous; write 2.500 × 10³ if you truly know all four digits.
Eli, the EliExplains learning guide

Eli explains

The same idea, in plain words

Explain it like I’m 10

Picture throwing darts at a bullseye. If your darts land in a tight cluster far from the center, you are precise (all the same) but not accurate (not on target) — like a scale that always reads 2 g too heavy. If your darts are spread all over but average out near the center, you're roughly accurate but not precise. Significant figures are how a scientist says "I'm sure about these digits, but not the next one" — like a ruler marked in centimeters lets you confidently write "12.3" but never "12.347." Limit of the analogy: darts measure a single true point, whereas many measurements have no single "bullseye" but still need a precise count of trustworthy digits.

Key takeaways

  • Accuracy = closeness to truth; precision = reproducibility. They are independent: you can be precise but inaccurate (systematic error) or accurate on average but imprecise (random error).
  • Exact numbers (counts, definitions) have infinite sig figs.
  • Leading zeros never significant; captive zeros always; trailing zeros significant only with a decimal point.
  • Scientific notation (N × 10ⁿ) always shows sig figs unambiguously.
  • ×/÷ → fewest sig figs; +/− → fewest decimal places.
  • Round only once, at the end; keep extra digits in intermediate steps.
  • Round-half-to-even avoids systematic upward bias.
  • Accuracy (near truth) vs. precision (reproducibility) are independent.
  • Exact numbers: infinite sig figs (counts, defined conversions).
  • Zeros: leading = never; captive = always; trailing = only with a decimal point.
  • Scientific notation makes sig figs unambiguous.
  • Multiplication/division: fewest sig figs. Addition/subtraction: fewest decimal places.
  • Carry extra digits through intermediate steps; round only at the end.
  • Round-half-to-even for exact "5" cases.

Keep learning

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Practice General Chemistry I

This lesson has no separate scored set. Practice draws from the subject’s question bank.

Study tools & related lessonsYou’ll learn to · Related

You’ll learn to

  • Distinguish accuracy (closeness to the true value) from precision (reproducibility of repeated measurements).
  • Identify exact numbers versus measured numbers and count significant figures correctly, including zeros.
  • Round the result of multiplication/division to the fewest significant figures and addition/subtraction to the fewest decimal places.
  • Express large and small quantities in scientific notation and use it to resolve ambiguous zeros.

Sources & references

  1. OpenStax, *Chemistry 2e*, Ch. 1.5, "Measurement Uncertainty, Accuracy, and Precision."
  2. OpenStax, *Chemistry 2e*, Ch. 1.6, "Mathematical Treatment of Measurement Results."

This lesson was adapted from the open educational references above; their licenses and attributions are preserved. See Copyright & Licensing.

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