Simplification & Approximation — IBPS Clerk / SBI Clerk
Simplification & Approximation is the single heaviest topic in clerk-level Numerical Ability, and it actually contains two distinct question types that demand opposite disciplines. A simplification question asks for an EXACT answer and must be evaluated precisely via BODMAS; an approximation question explicitly allows rounding and rewards deliberately estimating rather than computing exactly — confusing the two, by rounding a simplification question or over-computing an approximation question, wastes time in both directions.
1. Simplification: exact BODMAS evaluation
A simplification question gives a multi-step numeric expression — often mixing fractions, decimals, brackets and basic operations — and requires the exact value, following Brackets, Of, Division, Multiplication, Addition, Subtraction strictly in that order. Division and multiplication are resolved left to right as they appear, not division-always-first; the same left-to-right rule applies once only addition and subtraction remain.
The bracket resolves first (), then the multiplication and division proceed left to right (, then ), and finally the subtraction finishes the expression ().
2. Simplification with fractions
When a simplification expression contains fractions being added or multiplied together with other terms, converting every fraction to a common form before combining is what prevents a sign or order error. resolves the bracket first using the LCM of 4 and 3 (which is 12): , then .
3. Approximation: deliberate, fast rounding
An approximation question explicitly permits rounding to the nearest convenient number, and the skill is choosing a rounding that stays close enough to the true value while making the arithmetic fast — usually rounding percentages to the nearest 5 or 10, and numbers to the nearest 10 or 100. of approximates cleanly to of ; the actual value is close enough that the rounding introduces negligible error relative to the multiple-choice options' spacing.
4. Choosing what to round
Not every number in an approximation expression needs rounding — round only the values that are awkward to compute exactly, and leave already-clean numbers as they are. rounds cleanly to , since both factors are already close to round numbers; rounding a number that is already convenient (like exactly 20) adds unnecessary imprecision for no speed benefit.
5. Square roots, cubes and powers in approximation
Approximation questions frequently include a square root, cube or power term, and recognising a NEARBY perfect square/cube is faster than computing the root directly. is close to , and using 9 as the estimate is accurate enough for a multiple-choice approximation question, since the actual root () rounds to the same nearby integer.
Worked Examples
Example 1. Simplify exactly: .
Bracket first: . Then , . Finally .
Answer: 14.
Example 2. Simplify exactly: .
LCM of 4 and 3 is 12: . Then .
Answer: 17.
Example 3. Simplify exactly: .
and . Sum .
Answer: 17.
Example 4. Approximate: of + .
Round to and to : of . Round to the nearby . Sum .
Answer: approximately 109.
Example 5. Approximate: .
Round to the nearest clean numbers already close by: .
Answer: approximately 220.
Example 6. Approximate: of .
Round to and to : of .
Answer: approximately 150.
Example 7. Simplify exactly: of + of .
of . of . Sum .
Answer: 116.
Summary
Simplification demands an EXACT answer via strict BODMAS — brackets first, then division/multiplication left to right, then addition/subtraction left to right — never rounded.
Approximation explicitly allows rounding, and the skill is choosing which numbers to round (usually percentages to the nearest 5 or 10, numbers to the nearest 10 or 100) while leaving already-clean numbers untouched, since rounding a convenient number wastes the time it was meant to save.
For roots, cubes and powers inside an approximation question, recognising a nearby perfect square or cube gives a fast, sufficiently accurate estimate without computing the exact root — the small resulting error is negligible relative to the spacing between multiple-choice options.
Confusing the two question types — rounding a simplification question, or computing an approximation question to full precision — costs time in both directions; reading which type a question actually is comes before any calculation.
