Significant Figures, Precision, and Accuracy — Study Notes

Accuracy vs. Precision

  • Precision and accuracy are common everyday terms, but in science they have distinct meanings.
  • Precision: how closely repeated measurements agree with each other (the spread/consistency among measurements).
  • Accuracy: how closely those measurements agree with the true value (the truth of what’s being measured).
  • Key distinction: precision relates to agreement among measurements; accuracy relates to agreement with the true value.
  • Everyday intuition can confuse the two, but they are not the same.

The Bullseye Metaphor (True Value)

  • Imagine a dartboard with a bullseye representing the true value (the truth you’re trying to measure).
  • A measurement is accurate if it lands near the bullseye; it is precise if multiple measurements cluster tightly together, regardless of how close they are to the bullseye.
  • Diagram concepts described in words:
    • Case A: measurements cluster near the bullseye (high accuracy and high precision).
    • Case B: measurements cluster tightly but far from the bullseye (high precision, low accuracy).
    • Case C: measurements are spread out and far from the bullseye (low accuracy and low precision).

Scenarios: Understanding the Three Cases

  • Case 1: High precision and high accuracy
    • Repeated measurements are close to each other and near the true value.
  • Case 2: High precision but low accuracy
    • Measurements are very repeatable (close to each other) but far from the true value (e.g., a miscalibrated instrument).
  • Case 3: Low precision and low accuracy
    • Measurements are all over the place and far from the true value; shows a fundamental measurement issue.

Exact Numbers vs Measured Numbers

  • Exact numbers: defined and have no uncertainty; do not limit significant figures in calculations.
  • Examples of exact numbers:
    • The mass of a dozen eggs: 12\ \text{eggs} = \text{exact}
    • Conversion factors: 1\ \text{kg} = 1000\ \text{g} = \text{exact}
    • Conversion: 1\ \text{inch} = 2.54\ \text{cm} = \text{exact}
  • Measured numbers: have uncertainty and require significant figures in calculations.
  • Non-exact example discussed: thermometer readings (e.g., 30°C and 25°C on a thermometer scale) are not exact; the reading like 27°C is an estimate with limited precision.
  • Leap-year caveat for time-based quantities (e.g., microseconds in a week) can make some quantities non-exact due to real-world calendar variations.
  • Pages in a book are considered exact within the context given (counting printed pages).

Significance Figures: Core Rules (Overview)

  • Significance figures tell us how many digits in a number are meaningful based on measurement precision.
  • Goal: Only keep as many digits as the measurement justifies; avoid implying more precision than the data provides.
  • In calculations, rounding is guided by the number of significant figures in the original numbers.
  • Scientific notation can remove ambiguity for how many digits are significant.

Significance Figure Rules (Practical Rules)

  • Rule 1: Non-zero digits are always significant.

    • Example: 1,342.6 has five significant figures: 1, 3, 4, 2, 6.
  • Rule 2: Zeros between non-zero digits are significant (zeros between numbers are significant).

    • Examples: 1,005 has four significant figures; 7.03 has three significant figures.
  • Rule 3: Leading zeros are not significant (ignore leading zeros).

    • Examples: 0.02 has one significant figure; 0.0026 has two significant figures.
  • Rule 4: Trailing zeros are significant if there is a decimal point; otherwise, trailing zeros are ambiguous.

    • Examples: 0.0200 has three significant figures (2, 0, 0) because there is a decimal point and trailing zeros are significant; 0.04100 has four significant figures (4, 1, 0, 0).
    • Ambiguity example: 10,300 can be interpreted as anywhere from three to five significant figures unless written in scientific notation, which clarifies the count.
    • Scientific notation clarifies significant figures independently of the power of 10:
    • 1.03 \times 10^{4} has 3 significant figures.
    • 1.030 \times 10^{4} has 4 significant figures.
    • 1.0300 \times 10^{4} has 5 significant figures.
  • Note on ambiguity: In many textbooks, trailing zeros without a decimal point may not be significant; to avoid ambiguity, use scientific notation.

Examples: Identifying Zeros as Significant

  • Problem A: 0.041
    • Leading zeros are not significant; none of the zeros are significant. Result: 0 significant figures.
  • Problem B: 0.00410
    • Ignore leading zeros; trailing zero after decimal is significant. Result: 3 significant figures.
  • Problem C: 0.04100
    • Ignore leading zeros; trailing zeros with decimal are significant. Result: 4 significant figures.
  • Problem D: 4.010 × 10^4
    • Look at the 4.010 part: 4, 0, 1, 0 are all significant (0 between 4 and 1 is significant; trailing 0 with decimal is significant). Result: 4 significant figures.

Significance Figure Counts: Worked Examples

  • A: 6.070 \times 10^{-15} → 4 significant figures (the 0s between nonzero digits are significant; trailing zeros with decimal are significant).
  • B: 0.00038400 → 5 significant figures (ignore leading zeros; trailing zeros are significant due to decimal point).
  • C: 17.000 → 5 significant figures (decimal point makes trailing zeros significant).
  • D: 8.0 \times 10^{8} → 2 significant figures (the 0 after decimal is significant).
  • E: 463.805 → 6 significant figures (all digits, including the zero between 3 and 8, are significant).
  • F: 3,000 (assumed measured) → 1 significant figure (trailing zeros are not significant unless a decimal point is present).
  • G: 301 → 3 significant figures (the zero is between non-zero digits).
  • H: 30. (a decimal point after the number) → 2 significant figures (the decimal makes the trailing zero significant).

Rounding to Five Significant Figures (Practice)

  • Given numbers, round to five significant figures:
    • (A) 156.852 → five sig figs are the first five digits (1, 5, 6, ., 8, 5). The next digit is 2 (<5), so it rounds down: 156.85
    • (B) 156.842 → five sig figs: the fifth digit is 2, next is 4 (<5) so 156.84
    • (C) 156.849 → five sig figs: the fifth digit is 9, next is 0 or not shown? Actually next is 9; since it's 9, round the fifth digit up: 156.85
    • (D) 156.899 → five sig figs: the fifth digit is 9 and the next digit is 9, so the fifth becomes 9 and the number rounds to 156.90 (note the trailing zero is significant because of the decimal).

Rounding to Three Significant Figures and Writing in Scientific Notation

  • Task: Round the following values to three significant figures, then rewrite in scientific notation.
  • A: 102.53070 → three significant figures: 1 0 2 (the third digit is 2; the next digit is 5, so it rounds up). Result: 103.0? Wait: with three sig figs, the rounded value is 1.03\times 10^{2}.
    • Scientific notation: 1.03 \times 10^{2}
  • B: 656.9 → three sig figs: 6, 5, 7 (since the next digit is 6, rounds the 5 up? The transcript indicates 657). So: 6.57 \times 10^{2}
  • C: 0.008543210 → three sig figs: 8, 5, 4 (leading zeros ignored). Rounding based on next digit (3) yields 0.00854. Scientific notation: 8.54 \times 10^{-3}
  • D: 0.00002578 → three sig figs: digits are 2, 5, 7; rounding based on next digit (8) makes 7 become 8: 0.000258. Scientific notation: 2.58 \times 10^{-4}
  • E: -0.035720202 → three sig figs: digits 3, 5, 7; next digit is 2 (<5), so remains 7. Value: -0.0357. Scientific notation: -3.57 \times 10^{-2}

Practical Takeaways and Next Steps

  • This lesson covered:
    • Accuracy vs. precision definitions and the bullseye metaphor.
    • The concept of exact numbers vs. measured (not exact) numbers.
    • The rules for counting significant figures, including handling of leading/trailing zeros and the role of decimal points.
    • How to count significant figures in a variety of example numbers.
    • Rounding to a specified number of significant figures and expressing results in scientific notation to avoid ambiguity.
  • The next step: learning how to perform calculations with significant figures and determine the correct rounding of final answers based on the significant figures in the starting data.