Rounding Numbers and Error Intervals

Updated July 2026

Rounding numbers and measures to specified levels of accuracy is essential for communicating precision. For the ESAT, you must be able to round to decimal places and significant figures, handle unit conversions before rounding, and define the resulting error intervals using strict and non-strict inequality notation.

Core concept

Accuracy is the degree of closeness to a true value, expressed through rounding (adjusting the last digit based on the next) or truncation (removing digits) within specific intervals defined by LBx<UBLB \leq x < UB.

Rounding to Decimal Places

Rounding to a specified number of decimal places (d.p.) involves identifying the digit at the target position and looking at the digit immediately to its right. To round to 3 d.p., for example, you look at the 4th decimal place. If that 4th digit is 5 or more, you add 1 to the digit in the 3rd decimal place. If it is less than 5, you leave the 3rd digit unchanged.

Worked Example: Rounding Decimal Places

Consider the number 31.5638731.56387.

  1. Round to 4 d.p.: Count four places to the right of the decimal point, which is the digit 8. The digit to its right is 7. Since 7 is greater than or equal to 5, we add 1 to the 8. The result is 31.563931.5639.

  2. Round to 2 d.p.: Count two places to the right of the decimal point, which is the digit 6. The digit to its right is 3. Since 3 is less than 5, we make no correction and leave the 6 as it is. The result is 31.5631.56.

Rounding to Significant Figures

Significant figures (sig. figs.) indicate the precision of a number regardless of the decimal point location. To round to 3 sig. figs., you must count three digits from left to right, starting with the first non-zero digit. Digits to the right of the third significant figure are removed. If they are to the left of the decimal point, they are replaced with zeros as placeholders. If the 4th significant figure is 5 or more, add 1 to the 3rd significant figure.

Worked Example: Significant Figures with Decimals

Consider the number 0.00238240.0023824.

  1. Round to 4 sig. figs.: The first non-zero digit is 2. Counting four digits (2, 3, 8, 2), the next digit is 4. Since 4 is less than 5, no correction is needed. The result is 0.0023820.002382.

  2. Round to 2 sig. figs.: The first two significant figures are 2 and 3. The next digit is 8. Since 8 is greater than or equal to 5, the 3 is corrected to a 4. The result is 0.00240.0024.

Worked Example: Significant Figures with Large Numbers

Consider the number 365,892365,892. To round this to 2 sig. figs., identify the first two digits (3 and 6). The next digit is 5. Since it is 5 or more, the 6 becomes a 7. We then fill in zeros for all positions to the left of the decimal point. The result is 370,000370,000.

Rounding Measures and Unit Conversions

When rounding measures to a specific accuracy, you must ensure the units match the target before rounding. For example, to round a value in centimetres to the nearest metre, convert to metres first by dividing by 100.

Worked Example: Rounding Measures

Write 36,54836,548 cm in metres, correct to the nearest metre.

  1. Convert: 36,548÷100=365.4836,548 \div 100 = 365.48 m.

  2. Round: To round to the nearest whole metre, we look at the first digit after the decimal point, which is 4. Since 4 is less than 5, we do not round up. The result is 365365 m.

Truncation of Decimals

Truncation is different from rounding. Truncating a decimal to a specified number of places means simply cutting off all digits to the right of that position without any adjustment to the final digit.

Worked Example: Truncation

Truncate 3.456993.45699 after 3 decimal places. We look at the first three digits after the decimal point (4, 5, 6) and remove the rest. No correction is made despite the next digit being 9. The result is 3.4563.456.

Error Intervals and Inequality Notation

Error intervals define the range of possible values that a number could have been before it was rounded or truncated. We use inequality notation to express these intervals. Usually, the lower bound is inclusive (uses \leq) and the upper bound is exclusive (uses <<).

Rounding Intervals

If a number xx is written as 3.6 correct to 1 d.p., the interval is 3.55x<3.653.55 \leq x < 3.65. The smallest value that rounds to 3.6 is 3.55. Any value exactly at 3.65 would round up to 3.7, which is why the upper bound is strictly less than 3.65.

Truncation Intervals

If a number xx is truncated to 1 d.p. as 3.6, the interval is 3.6x<3.73.6 \leq x < 3.7. The smallest possible value is 3.6 itself. Any value up to but not including 3.7 (such as 3.699...) would truncate to 3.6. Once the value reaches 3.7, the truncated version becomes 3.7.

Key takeaways

  • To round, always look at the digit to the right of your target position and round up if it is 5 or more.
  • Significant figures are counted starting from the first non-zero digit on the left.
  • Truncation involves cutting off digits without rounding, meaning the target digit never increases.
  • Error intervals for rounding use the notation LBx<UBLB \leq x < UB, where LBLB is the lower bound and UBUB is the upper bound.
  • Always perform unit conversions before rounding measures to a specific degree of accuracy.
Tips

When identifying significant figures in very small decimals, remember that the leading zeros are merely placeholders. Start counting at the first digit that is not zero.

Cautions

Do not confuse truncation with rounding. Even if the digit to be removed is a 9, a truncated value remains unchanged, whereas a rounded value would increase.

Insight

The choice between \leq and << in error intervals is a logical necessity. It ensures that every possible real number belongs to exactly one interval for a given rounding system, preventing overlap between adjacent rounded values.

Frequently asked questions

Is zero a significant figure?

Zero is significant when it is between two non-zero digits (e.g., in 105, the 0 is significant) or when it is at the end of a decimal used to indicate precision (e.g., in 1.20, the 0 is significant). Leading zeros (e.g., in 0.005) are never significant.

Why is the upper bound of an inequality strictly less than the value?

In rounding, the upper bound is the point at which a number would round to the next level of accuracy. For example, 3.653.65 rounds to 3.73.7. Therefore, the range of numbers rounding to 3.63.6 must stop just before 3.653.65 is reached.

What is the difference between rounding to 2 decimal places and 2 significant figures?

Rounding to 2 decimal places always looks at the 100ths column (e.g., 0.00450.0045 to 2 d.p. is 0.000.00). Rounding to 2 significant figures looks at the first two non-zero digits (e.g., 0.00450.0045 to 2 s.f. is 0.00450.0045).

How do you truncate a whole number?

While truncation is most common with decimals, truncating a whole number to a place value (like the nearest ten) would involve replacing digits with zeros without rounding up, though this is less standard than decimal truncation.

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