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Significant Figures and Errors in Measurement

No measurement is perfect. Significant figures are the digits we trust plus the first doubtful digit. Errors tell how far a reading may be from the true value: absolute error Δa, relative error Δa/a and percentage error (Δa/a) × 100. When we add or subtract, absolute errors add. When we multiply or divide, percentage errors add. For a power aⁿ, the percentage error becomes n times.

🎬 Step-by-step story

  1. Put a pencil on a centimetre ruler. It ends between the 7.3 and 7.5 marks, so we write 7.4 cm. The 7 is sure. The 4 is our best guess. Both count as significant figures.
  2. Now count significant figures with tiles. Green tiles count. Grey zeros at the front only show where the decimal point is, so they do not count.
  3. Rounding off: keep 3 significant figures of 3.4567. Look at the first digit you drop. It is 6, which is 5 or more, so the last kept digit goes up: 3.46.
  4. Time a pendulum 5 times. The bars are different heights. The red line is the mean. How far each bar is from the red line is its absolute error. Mean absolute error = 0.11 s.
  5. Find the area of a plate: A = L × B. Each side has ±0.1 cm. The orange border shows the doubt. In a product, the percentage errors add up.
  6. Your turn. Pick a number and count its green tiles. Change L and B and watch the percentage error of the area.

Tip: drag the 3D scene to turn it. Use two fingers to zoom.

🤔 Common doubts, cleared

Why do we keep a guessed digit at all?

It still tells us something: 7.4 cm says the end is between 7.3 and 7.5, which is better than just 7 cm. So we keep one doubtful digit, but no more.

Why doesn't 0.052 have 4 significant figures?

Write it as 5.2 × 10⁻². The front zeros vanish; they only showed the place of the decimal point.

Why do zeros in 2.300 count but not in 2300?

A decimal point shows someone measured those zeros. In 2300 we cannot tell, so write 2.300 × 10³ if they were measured.

Why add 1 when the dropped digit is 5 or more?

3.4567 is closer to 3.46 than to 3.45, so rounding up keeps the number nearest to the true value.

When I subtract two readings, why do errors add, not subtract?

Each reading may be off in either direction. In the worst case the two doubts pile up, so the maximum error is ΔA + ΔB.

Why do we use percentage error for products?

In a product, a 2% error in L makes the area 2% off, whatever the size. So the percentages, not the absolute errors, add up.

Significant figures: the digits we can trust

A measured number shows how good the instrument is. Significant figures = all the sure digits + the first uncertain digit.

Rules to count them

  1. All non-zero digits count. 2.47 has 3.
  2. Zeros between non-zero digits count. 1.05 has 3.
  3. Zeros at the start (before the first non-zero digit) never count. 0.0052 has 2.
  4. Zeros at the end count only if there is a decimal point. 2.300 has 4. 2300 is unclear; write 2.3 × 10³ (2 s.f.) or 2.300 × 10³ (4 s.f.).
  5. In scientific notation a × 10ᵇ, count only the digits in a. The power of ten does not count.
  6. Changing units does not change the count: 2.30 m = 230 cm = 0.00230 km, all 3 s.f.
  7. Exact numbers (like 2 in 2πr, or counted objects) have unlimited significant figures.

Rounding off and arithmetic with significant figures

Rounding off

Multiplying and dividing

Keep as many significant figures as the number with the fewest significant figures. 4.237 g ÷ 2.51 cm³ = 1.688… → 1.69 g cm⁻³ (3 s.f.).

Adding and subtracting

Keep as many decimal places as the number with the fewest decimal places. 436.32 + 227.2 + 0.301 = 663.821 → 663.8.

Round only the final answer, not every middle step.

Uncertainty: kinds of errors

Error = measured value − true value. It is not a "mistake"; it is the doubt that every reading has.

Systematic errors

They push every reading the same way (all too big or all too small). Causes: a faulty instrument (zero error in a screw gauge), a bad method (ignoring air friction), or a personal habit (always looking at the scale from one side, called parallax). Fix: find the cause and correct it.

Random errors

They go up and down without a pattern, e.g. from small changes in temperature or your reaction time. Fix: take many readings and use the mean.

Least count error

The smallest value an instrument can read is its least count: 1 mm for a metre scale, 0.01 cm for a vernier, 0.001 cm for a screw gauge. Every reading may be off by up to one least count. Fix: use a finer instrument.

Try it at home

Use a phone stopwatch to time 10 swings of a key tied on a string, five times. Write the five times, find the mean and the mean absolute error. Then time 20 swings: see how the percentage error drops.

Absolute, relative and percentage error

Suppose readings are a₁, a₂, … aₙ.

Combination of errors

OperationError rule (maximum error)
Z = A + B or Z = A − BΔZ = ΔA + ΔB (absolute errors always add, even when subtracting)
Z = A × B or Z = A ÷ BΔZ/Z = ΔA/A + ΔB/B (relative errors add)
Z = AⁿΔZ/Z = n (ΔA/A)
Z = Aᵖ Bᑫ ÷ CʳΔZ/Z = p ΔA/A + q ΔB/B + r ΔC/C

The quantity with the highest power adds the most error, so measure it most carefully.

Key formulas and definitions

Worked examples

1. How many significant figures are in (a) 0.007020 (b) 6.320 × 10⁴ (c) 5000?

(a) Leading zeros do not count; 7, 0, 2, 0 count → 4. (b) 6, 3, 2, 0 → 4. (c) No decimal point, so trailing zeros are unclear; normally 1 (write 5.000 × 10³ if all are measured).

2. Round 2.5463 to 3 s.f. and 7.850 to 2 s.f.

2.5463 → first dropped digit is 6 > 5 → 2.55. 7.850 → dropped part is exactly 50, kept digit 8 is even → 7.8.

3. A block has mass 5.74 g and volume 1.2 cm³. Find its density with correct significant figures.

Density = 5.74 ÷ 1.2 = 4.783… The fewest s.f. is 2 (in 1.2), so density = 4.8 g cm⁻³.

4. Five readings of a pendulum's period are 2.63, 2.56, 2.42, 2.71 and 2.80 s. Find the mean, mean absolute error, relative and percentage error.

Mean = 13.12 ÷ 5 = 2.624 ≈ 2.62 s. Errors: 0.01, 0.06, 0.20, 0.09, 0.18 → sum 0.54 → mean absolute error = 0.108 ≈ 0.11 s. Relative error = 0.11 ÷ 2.62 = 0.04. Percentage error = 4%. Result: 2.6 ± 0.1 s.

5. Two resistors are 100 ± 3 Ω and 200 ± 4 Ω. Find the total in series.

R = 100 + 200 = 300 Ω. ΔR = 3 + 4 = 7 Ω. So R = 300 ± 7 Ω.

6. Temperatures are 20.0 ± 0.5 °C and 50.0 ± 0.5 °C. Find the rise in temperature.

Δθ = 50.0 − 20.0 = 30.0 °C. Errors add even for subtraction: 0.5 + 0.5 = 1.0 °C. Answer: 30.0 ± 1.0 °C.

7. Length = 5.0 ± 0.1 cm, breadth = 4.0 ± 0.1 cm. Find the area with its error.

A = 20.0 cm². % errors: 0.1/5 × 100 = 2%, 0.1/4 × 100 = 2.5%. Total = 4.5%. ΔA = 4.5% of 20 = 0.9 cm². A = 20.0 ± 0.9 cm².

8. Z = A²B³/√C. The percentage errors in A, B and C are 1%, 2% and 4%. Find the percentage error in Z.

% error in Z = 2(1%) + 3(2%) + ½(4%) = 2 + 6 + 2 = 10%.

Common mistakes

Practice quiz

1. Number of significant figures in 0.05020 is:
2. When two quantities are multiplied, what adds up?
3. Taking the mean of many readings reduces:
4. Round 4.357 to 2 significant figures.
5. If r has 2% error, the error in area πr² is:

Practice: answer these yourself

Type or choose your answer, then press Check. Use a hint if you are stuck; the full solution appears after you answer.

Frequently asked questions

What are significant figures?

All the reliable digits of a measurement plus the first uncertain digit.

What is the difference between absolute and relative error?

Absolute error is the size of the error in the same unit (like 0.1 s). Relative error divides it by the value, so it has no unit (like 0.04 or 4%).

How do errors combine in multiplication?

The relative (or percentage) errors add: ΔZ/Z = ΔA/A + ΔB/B. For a power n, multiply the percentage error by n.

Where this is taught

PolandLiceum ogólnokształcące, klasa ICross-cutting skills
RomaniaClasa a IX-aIntroductory notions and working methods in physics
RomaniaClasa a IX-aIntroductory notions and working methods in physics
RomaniaClasa a IX-aIntroductory notions and working methods in physics
Ukraine10 класIntroduction
CBSE (India)Class 11Physical World and Measurement
England (GCSE, A level)Year 123.1 Measurements and their errors

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