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In addition or subtraction, round the result to the same number of decimal places as the measurement with the fewest decimal places. For example, adding 2.052 and 1.2 yields 3.252, which rounds to 3.3 because 1.2 has only one decimal place. This ensures your answer reflects the precision of your least precise measurement.

When the digit to be dropped is 5 or greater, round up and increase the retained digit by one. However, alternative rounding methods exist when the dropped digit is exactly 5, such as rounding to the nearest even value. These methods help minimize rounding errors in multistep calculations.

In multiplication or division, round the result to have the same number of significant figures as the measurement with the fewest significant figures. For instance, multiplying 2.052 by 1.2 gives 2.4624, rounded to 2.5. This differs from addition and subtraction, which use decimal places instead.

Rounding should preferably be done at the end of a multistep calculation rather than after each step. This practice avoids the accumulation of rounding errors at each intermediate stage, ensuring your final result maintains the correct precision and certainty of the measured values.

Rounding down occurs when the digit to be dropped is less than 5. In this case, leave the retained digit unchanged. For example, if you need to round 3.24 to one decimal place, the digit 4 is less than 5, so you round down to 3.2.

Reporting results with the correct number of significant figures reduces measurement uncertainty and accurately represents the certainty of measured values. Proper rounding prevents false precision and communicates the reliability of your data, which is essential for scientific accuracy and reproducibility.

Count all non-zero digits, zeros between non-zero digits, and trailing zeros after a decimal point in each measurement. The measurement with the lowest count has the fewest significant figures. Your final answer must match this count when multiplying or dividing, ensuring consistency across all values.