Estimation involves rounding whole numbers to the nearest ten or hundred, using compatible numbers, or choosing benchmark quantities to predict reasonable sums, differences, products, and quotients in context. Comparing an exact result with an estimate reveals errors such as misplaced digits, incorrect operation choice, or an unreasonable answer, while recognizing that an estimate need not equal the exact value; the focus is on whole-number calculations rather than decimals, formal error bounds, or generalized estimation methods.
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Estimation helps you predict about how much an answer should be. Then you can compare the exact answer with your estimate to see if it makes sense.
Example: A library has books. It lends books. About how many books are left?
So, about books should be left.
An estimate does not have to equal the exact answer. It gives you a quick number to use for checking whether your answer is reasonable.
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