Difficulty: Easy
Correct Answer: round-to-even rule
Explanation:
Introduction / Context:
Rounding is essential in measurements, reporting, and numerical computation. When a number sits exactly halfway between two representable values (the classic “. . . 5” case), different conventions yield different biases. The widely recommended technique for science and engineering is the round-to-even rule (also called bankers’ rounding), which minimizes systematic bias across large datasets.
Given Data / Assumptions:
Concept / Approach:
In round-to-even, if the first discarded digit is exactly 5 and nothing follows (or the remaining digits are zeros), the retained last digit is adjusted to the nearest even number. This means sometimes you “drop the 5” (round down) and sometimes you round up, depending on whether the last retained digit is already even or odd. Over many numbers, upward and downward rounding occurrences balance, reducing drift in averages.
Step-by-Step Solution:
Verification / Alternative check:
A quick simulation on uniformly distributed half-way cases shows that round-to-even produces near-zero mean rounding error, whereas always-round-up yields a consistent positive bias. Many standards bodies and statistical texts recommend round-to-even for this reason.
Why Other Options Are Wrong:
Common Pitfalls:
Final Answer:
round-to-even rule
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