Series route: This guide belongs to the complete PSLE Learner’s Guide volume directory. The original PSLE Learning Guide supplies the wider English, Mathematics and Science route, while PSLE English, PSLE Mathematics, PSLE Science provide verified subject-specific continuation.
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This volume solves one precise learner problem: the learner sees two identical displayed numbers and concludes that the original quantities were exactly equal, ignoring rounding precision, measurement resolution, intervals and the difference between “same when rounded” and “identical”. The goal is durable control, not a remembered slogan. A Primary 6 learner should be able to identify the trigger, explain the mechanism, perform the decision under time pressure and reject an attractive answer that exceeds the evidence.
- Start with the exact mistake and the evidence boundary.
- Build the mechanism before memorising a shortcut.
- Study worked contrasts and name why the near-miss fails.
- Repair misconceptions with one targeted check each.
- Attempt graded independent practice before reading the explanations.
- Return after a delay and prove that the method transfers.
- Use the parent and tutor notes after the learner has attempted the work.
The problem beneath the mistake
A reading of 7.4 and a reading of 7.3 both become 7 when rounded to the nearest whole number. The displayed values match, but the original values differ.
Rounding replaces a range of possible original values with one representative display. Information is intentionally compressed.
If a value is shown as 7 to the nearest whole number, an original measurement from 6.5 up to but not including 7.5 could produce that display under the usual rule.
Two displayed 7s may therefore represent the same original value, slightly different values or values almost one unit apart. The display alone cannot distinguish them.
Measurement adds another layer. An instrument with coarse markings may not resolve small differences even before a number is rounded for reporting.
In English, words such as approximately, about, nearly and to the nearest signal that the stated number is not exact. A faithful conclusion preserves that qualification.
In Mathematics, equality between rounded displays is an equality of reported values at a stated precision. It is not automatically equality of the underlying numbers.
In Science, claiming that two objects have exactly the same mass or temperature requires evidence at an appropriate resolution. Matching rounded readings support similarity within the reporting precision.
A hidden difference may be too small to matter for the question. Precision should serve the decision; learners should not invent extra digits or demand unrealistic accuracy.
Rounding too early during a multistep calculation can change a final result. Keep suitable working precision and round once at the requested stage.
A tie in a displayed table may be a reporting tie rather than an exact tie. If ranking depends on the original values, seek unrounded data or state the uncertainty.
The reliable routine is identify the reported precision, recover the possible interval, separate display from original, inspect instrument resolution and make only the comparison the evidence supports.
Core decision: Matching rounded values prove only that the original quantities fall into the same reporting category at that precision. They do not prove exact equality. Preserve the rounding unit, possible interval, measurement resolution and purpose of the comparison.
Numbers in texts, calculations and experiments are representations. Strong reasoning asks how the value was produced, what precision was retained and which conclusions survive the lost information.
Mechanism: why the rule works
1. Read the precision statement
Locate “nearest whole number”, “nearest tenth”, “to 2 decimal places” or an instrument scale.
Without the reporting unit, the size of the hidden interval is unknown.
Diagnostic check. To what unit was the value reported?
2. Recover the interval
For ordinary nearest-unit rounding, move half a unit below and half a unit above the displayed value, with the upper boundary excluded.
The interval describes all originals that can share the display.
Diagnostic check. What original values could round here?
3. Separate two equalities
Write “displayed A = displayed B” separately from “original A = original B”.
The first may be known while the second remains uncertain.
Diagnostic check. Which equality is actually supported?
4. Inspect measurement resolution
A ruler, balance or thermometer may report only to its smallest division or digital step.
A matching reading can mean the difference lies below the instrument’s resolution.
Diagnostic check. Could the tool detect the difference being claimed?
5. Preserve language limits
Use approximately, same to the nearest unit, indistinguishable at this resolution or no difference detected.
Avoid exact, identical and equal in every respect unless stronger data exist.
Diagnostic check. Which qualifier keeps the statement faithful?
6. Delay rounding
Carry sufficient digits through intermediate steps and round the final result as instructed.
Repeated early rounding can accumulate error or change a ranking.
Diagnostic check. At which step does the question request rounding?
7. Handle displayed ties
If two results share a rounded score, treat the ranking as unresolved unless tie rules or unrounded values are available.
Do not break the tie using visual order or invented decimals.
Diagnostic check. What additional information would rank them?
8. Match precision to purpose
A difference hidden at one precision may be irrelevant for an estimate but important near a boundary or threshold.
Use the accuracy the decision requires, not maximum digits for their own sake.
Diagnostic check. Could the hidden interval change the decision?
9. Build a bounded conclusion
State the display, precision and limit together: “Both rounded to 12.3 kg; exact equality is not established.”
This complete sentence reports what is known and unknown.
Diagnostic check. Does the conclusion distinguish observation from inference?
Worked examples: make the decision visible
Pause before each answer. State the controlling evidence in one line, then complete the operation. The explanations deliberately contrast a valid route with a plausible but invalid one, because transfer grows when the learner can say why a tempting route does not apply.
Worked example 1: Nearest whole
Task. 7.4 and 7.3 are rounded to the nearest whole number.
Reasoning. Both lie from 6.5 up to 7.5.
Answer. Both display 7, although the originals differ by 0.1.
Independent check. Matching display is not exact equality.
Contrast-and-transfer pass. Keep the governing principle from “Nearest whole”, but change one surface detail in the task: 7.4 and 7.3 are rounded to the nearest whole number. Before recalculating or rewriting, name which evidence remains controlling and which detail has changed. The original conclusion—Both display 7, although the originals differ by 0.1.—may remain valid only if the changed detail does not alter the trigger, relationship or scope. Use the independent check again rather than trusting visual similarity. This second pass trains selection: the learner must decide whether the same method still applies, adapt one step when a condition changes, and refuse the method when its trigger disappears.
Worked example 2: Possible interval
Task. A length is 12 cm to the nearest centimetre.
Reasoning. The original length is at least 11.5 cm and less than 12.5 cm.
Answer. 11.5 cm ≤ length < 12.5 cm.
Independent check. Keep the upper endpoint excluded under the usual rule.
Contrast-and-transfer pass. Keep the governing principle from “Possible interval”, but change one surface detail in the task: A length is 12 cm to the nearest centimetre. Before recalculating or rewriting, name which evidence remains controlling and which detail has changed. The original conclusion—11.5 cm ≤ length < 12.5 cm.—may remain valid only if the changed detail does not alter the trigger, relationship or scope. Use the independent check again rather than trusting visual similarity. This second pass trains selection: the learner must decide whether the same method still applies, adapt one step when a condition changes, and refuse the method when its trigger disappears.
Worked example 3: Two displayed masses
Task. Two parcels each show 5.0 kg to the nearest 0.1 kg.
Reasoning. Each original mass lies from 4.95 kg up to 5.05 kg.
Answer. The display does not prove identical mass.
Independent check. The true difference could be small but non-zero.
Contrast-and-transfer pass. Keep the governing principle from “Two displayed masses”, but change one surface detail in the task: Two parcels each show 5.0 kg to the nearest 0.1 kg. Before recalculating or rewriting, name which evidence remains controlling and which detail has changed. The original conclusion—The display does not prove identical mass.—may remain valid only if the changed detail does not alter the trigger, relationship or scope. Use the independent check again rather than trusting visual similarity. This second pass trains selection: the learner must decide whether the same method still applies, adapt one step when a condition changes, and refuse the method when its trigger disappears.
Worked example 4: Instrument scale
Task. Two temperatures both read 24°C on a whole-degree display.
Reasoning. Values such as 23.6°C and 24.4°C can share that reading.
Answer. No difference is resolved by this display.
Independent check. Do not report decimals the instrument did not measure.
Contrast-and-transfer pass. Keep the governing principle from “Instrument scale”, but change one surface detail in the task: Two temperatures both read 24°C on a whole-degree display. Before recalculating or rewriting, name which evidence remains controlling and which detail has changed. The original conclusion—No difference is resolved by this display.—may remain valid only if the changed detail does not alter the trigger, relationship or scope. Use the independent check again rather than trusting visual similarity. This second pass trains selection: the learner must decide whether the same method still applies, adapt one step when a condition changes, and refuse the method when its trigger disappears.
Worked example 5: Table tie
Task. Two teams are shown at 83% after rounding.
Reasoning. Their original percentages may differ within the same rounding interval.
Answer. The table shows a rounded tie, not necessarily an exact tie.
Independent check. Request unrounded scores before ranking.
Contrast-and-transfer pass. Keep the governing principle from “Table tie”, but change one surface detail in the task: Two teams are shown at 83% after rounding. Before recalculating or rewriting, name which evidence remains controlling and which detail has changed. The original conclusion—The table shows a rounded tie, not necessarily an exact tie.—may remain valid only if the changed detail does not alter the trigger, relationship or scope. Use the independent check again rather than trusting visual similarity. This second pass trains selection: the learner must decide whether the same method still applies, adapt one step when a condition changes, and refuse the method when its trigger disappears.
Worked example 6: Boundary decision
Task. A requirement is at least 70.0, and a displayed score is 70 after rounding to a whole number.
Reasoning. The original could be below 70.0, equal to it or above it.
Answer. The rounded display alone cannot confirm eligibility.
Independent check. Use the original score and official comparison rule.
Contrast-and-transfer pass. Keep the governing principle from “Boundary decision”, but change one surface detail in the task: A requirement is at least 70.0, and a displayed score is 70 after rounding to a whole number. Before recalculating or rewriting, name which evidence remains controlling and which detail has changed. The original conclusion—The rounded display alone cannot confirm eligibility.—may remain valid only if the changed detail does not alter the trigger, relationship or scope. Use the independent check again rather than trusting visual similarity. This second pass trains selection: the learner must decide whether the same method still applies, adapt one step when a condition changes, and refuse the method when its trigger disappears.
Worked example 7: Early rounding
Task. Calculate 2.46 × 3.46, comparing early whole-number rounding with full calculation.
Reasoning. Early rounding gives 2 × 3 = 6, while the product is 8.5116.
Answer. Round the final result only as requested.
Independent check. The coarse early values destroyed useful information.
Contrast-and-transfer pass. Keep the governing principle from “Early rounding”, but change one surface detail in the task: Calculate 2.46 × 3.46, comparing early whole-number rounding with full calculation. Before recalculating or rewriting, name which evidence remains controlling and which detail has changed. The original conclusion—Round the final result only as requested.—may remain valid only if the changed detail does not alter the trigger, relationship or scope. Use the independent check again rather than trusting visual similarity. This second pass trains selection: the learner must decide whether the same method still applies, adapt one step when a condition changes, and refuse the method when its trigger disappears.
Worked example 8: Approximate wording
Task. A passage says “about 300 visitors”.
Reasoning. The number is approximate; the exact count may be somewhat different according to the reporting method.
Answer. Preserve “about” in the paraphrase.
Independent check. Do not convert approximation into exact count.
Contrast-and-transfer pass. Keep the governing principle from “Approximate wording”, but change one surface detail in the task: A passage says “about 300 visitors”. Before recalculating or rewriting, name which evidence remains controlling and which detail has changed. The original conclusion—Preserve “about” in the paraphrase.—may remain valid only if the changed detail does not alter the trigger, relationship or scope. Use the independent check again rather than trusting visual similarity. This second pass trains selection: the learner must decide whether the same method still applies, adapt one step when a condition changes, and refuse the method when its trigger disappears.
Worked example 9: No detected change
Task. A science table shows 18.0 g before and after.
Reasoning. The balance and rounding may hide a small change.
Answer. State that no change was detected at the reported precision.
Independent check. Avoid claiming absolute zero change unless resolution supports it.
Contrast-and-transfer pass. Keep the governing principle from “No detected change”, but change one surface detail in the task: A science table shows 18.0 g before and after. Before recalculating or rewriting, name which evidence remains controlling and which detail has changed. The original conclusion—State that no change was detected at the reported precision.—may remain valid only if the changed detail does not alter the trigger, relationship or scope. Use the independent check again rather than trusting visual similarity. This second pass trains selection: the learner must decide whether the same method still applies, adapt one step when a condition changes, and refuse the method when its trigger disappears.
Worked example 10: Purpose
Task. A rough travel estimate rounds 48.7 km to 49 km.
Reasoning. Nearest-kilometre precision may be suitable for planning, but not for measuring a narrow legal boundary.
Answer. Precision is judged against the task.
Independent check. More digits are useful only when valid and needed.
Contrast-and-transfer pass. Keep the governing principle from “Purpose”, but change one surface detail in the task: A rough travel estimate rounds 48.7 km to 49 km. Before recalculating or rewriting, name which evidence remains controlling and which detail has changed. The original conclusion—Precision is judged against the task.—may remain valid only if the changed detail does not alter the trigger, relationship or scope. Use the independent check again rather than trusting visual similarity. This second pass trains selection: the learner must decide whether the same method still applies, adapt one step when a condition changes, and refuse the method when its trigger disappears.
The method lab: change one condition at a time
Place 6.5, 6.9, 7.0, 7.4 and 7.49 on a number line. Show why they can share the nearest-whole display 7.
Create pairs of different decimals that round to the same tenth. State their difference before and after reporting.
Build interval cards for values rounded to whole units, tenths and hundredths. Compare interval widths.
Use a ruler with centimetre marks and another with millimetre marks. Discuss which small differences each can resolve.
Record the same object with two displays of different precision. Separate valid extra resolution from invented digits.
Take a table with a rounded tie and write three possible pairs of original values consistent with it.
Move a value near a decision threshold through the rounding interval. Identify when the displayed number stops proving eligibility.
Perform a three-step calculation once with early rounding and once with full working precision. Compare final answers.
Sort statements into exact, approximate, same when rounded and indistinguishable at this resolution.
Rewrite “both are exactly 12” as a faithful scientific conclusion when the instrument reports whole units.
Find the lower inclusive and upper exclusive boundaries for five displayed values.
Compare truncation with rounding in a small table. Do not assume both procedures create the same interval.
Check whether the problem needs an estimate, a ranking or a threshold decision. Choose precision accordingly.
After a delay, infer possible originals from unseen displays before calculating anything.
Finish with a representation audit: original quantity, instrument, reported precision, interval, comparison and conclusion.
Common misconceptions and targeted repairs
Misconception 1: Matching displays prove exact equality
What the learner may think. The learner equates representation with underlying value.
Why it fails. Different originals can round to one display.
Targeted repair. Write each possible interval.
Misconception 2: More written zeros mean exactness
What the learner may think. The learner reads formatting as perfect knowledge.
Why it fails. Digits indicate reporting precision, not infinite accuracy.
Targeted repair. Ask how the number was measured.
Misconception 3: The upper boundary is included
What the learner may think. The learner includes both half-unit endpoints.
Why it fails. Under the usual rule, the upper endpoint rounds to the next value.
Targeted repair. Use lower inclusive, upper exclusive.
Misconception 4: Early rounding is harmless
What the learner may think. The learner rounds every intermediate result.
Why it fails. Lost information can change later operations.
Targeted repair. Round once at the requested stage.
Misconception 5: No detected difference means no difference exists
What the learner may think. The learner ignores resolution.
Why it fails. A smaller difference may be hidden.
Targeted repair. State the detection limit.
Misconception 6: More decimals are always better
What the learner may think. The learner invents precision.
Why it fails. Unsupported digits create false accuracy.
Targeted repair. Match digits to instrument and purpose.
Graded independent practice with explained answers
Attempt each item without looking ahead. Write the evidence or relationship before the final response. Early items check recognition; middle items require explanation; later items change the surface form so that copying a worked example is insufficient.
Practice 1: Shared display
Question. Can 4.24 and 4.16 both round to 4.2 to the nearest tenth?
Explained answer. Yes.
Why this earns trust. Each lies from 4.15 up to 4.25.
Transfer variation. Close the answer, wait several minutes, and rebuild the reasoning with different names, values or wording while preserving the same decision. Start by stating the evidence that activates the method; then produce the response and a separate check. If the new surface detail changes the governing condition, explain why the earlier answer pattern must not be copied. The aim is not to repeat “Yes.” from memory, but to recreate a justified answer from the new evidence.
Practice 2: Exact equality
Question. Does that prove the originals are equal?
Explained answer. No.
Why this earns trust. Their displayed values match only at that precision.
Transfer variation. Close the answer, wait several minutes, and rebuild the reasoning with different names, values or wording while preserving the same decision. Start by stating the evidence that activates the method; then produce the response and a separate check. If the new surface detail changes the governing condition, explain why the earlier answer pattern must not be copied. The aim is not to repeat “No.” from memory, but to recreate a justified answer from the new evidence.
Practice 3: Interval
Question. Give the interval for 9 to the nearest whole.
Explained answer. 8.5 ≤ x < 9.5.
Why this earns trust. Half a unit lies on each side.
Transfer variation. Close the answer, wait several minutes, and rebuild the reasoning with different names, values or wording while preserving the same decision. Start by stating the evidence that activates the method; then produce the response and a separate check. If the new surface detail changes the governing condition, explain why the earlier answer pattern must not be copied. The aim is not to repeat “8.5 ≤ x < 9.5.” from memory, but to recreate a justified answer from the new evidence.
Practice 4: Tenths
Question. Give the interval for 3.7 to the nearest tenth.
Explained answer. 3.65 ≤ x < 3.75.
Why this earns trust. Half of 0.1 is 0.05.
Transfer variation. Close the answer, wait several minutes, and rebuild the reasoning with different names, values or wording while preserving the same decision. Start by stating the evidence that activates the method; then produce the response and a separate check. If the new surface detail changes the governing condition, explain why the earlier answer pattern must not be copied. The aim is not to repeat “3.65 ≤ x < 3.75.” from memory, but to recreate a justified answer from the new evidence.
Practice 5: Tool
Question. Why may two objects show the same whole-gram mass?
Explained answer. Their difference may be below the balance resolution or rounding unit.
Why this earns trust. The display compresses information.
Transfer variation. Close the answer, wait several minutes, and rebuild the reasoning with different names, values or wording while preserving the same decision. Start by stating the evidence that activates the method; then produce the response and a separate check. If the new surface detail changes the governing condition, explain why the earlier answer pattern must not be copied. The aim is not to repeat “Their difference may be below the balance resolution or rounding unit.” from memory, but to recreate a justified answer from the new evidence.
Practice 6: Language
Question. Repair “the temperatures were exactly equal”.
Explained answer. “They were the same to the reported precision.”
Why this earns trust. The qualifier matches the evidence.
Transfer variation. Close the answer, wait several minutes, and rebuild the reasoning with different names, values or wording while preserving the same decision. Start by stating the evidence that activates the method; then produce the response and a separate check. If the new surface detail changes the governing condition, explain why the earlier answer pattern must not be copied. The aim is not to repeat ““They were the same to the reported precision.”” from memory, but to recreate a justified answer from the new evidence.
Practice 7: Tie
Question. Can rounded scores alone rank two pupils with 82%?
Explained answer. Not necessarily.
Why this earns trust. Unrounded scores or tie rules are needed.
Transfer variation. Close the answer, wait several minutes, and rebuild the reasoning with different names, values or wording while preserving the same decision. Start by stating the evidence that activates the method; then produce the response and a separate check. If the new surface detail changes the governing condition, explain why the earlier answer pattern must not be copied. The aim is not to repeat “Not necessarily.” from memory, but to recreate a justified answer from the new evidence.
Practice 8: Threshold
Question. Can 70 rounded to a whole prove an original at least 70.0?
Explained answer. No.
Why this earns trust. The original may be 69.5 to 69.99….
Transfer variation. Close the answer, wait several minutes, and rebuild the reasoning with different names, values or wording while preserving the same decision. Start by stating the evidence that activates the method; then produce the response and a separate check. If the new surface detail changes the governing condition, explain why the earlier answer pattern must not be copied. The aim is not to repeat “No.” from memory, but to recreate a justified answer from the new evidence.
Practice 9: Working
Question. When should a multistep answer be rounded?
Explained answer. At the instructed final stage, while keeping suitable working precision.
Why this earns trust. This limits accumulated rounding error.
Transfer variation. Close the answer, wait several minutes, and rebuild the reasoning with different names, values or wording while preserving the same decision. Start by stating the evidence that activates the method; then produce the response and a separate check. If the new surface detail changes the governing condition, explain why the earlier answer pattern must not be copied. The aim is not to repeat “At the instructed final stage, while keeping suitable working precision.” from memory, but to recreate a justified answer from the new evidence.
Practice 10: Approximation
Question. What does “about 500” protect?
Explained answer. It signals that 500 is not asserted as the exact count.
Why this earns trust. The language preserves uncertainty.
Transfer variation. Close the answer, wait several minutes, and rebuild the reasoning with different names, values or wording while preserving the same decision. Start by stating the evidence that activates the method; then produce the response and a separate check. If the new surface detail changes the governing condition, explain why the earlier answer pattern must not be copied. The aim is not to repeat “It signals that 500 is not asserted as the exact count.” from memory, but to recreate a justified answer from the new evidence.
Practice 11: Science
Question. What does “no difference detected” mean?
Explained answer. Any difference was not resolved by the method and precision used.
Why this earns trust. It is not proof of absolute identity.
Transfer variation. Close the answer, wait several minutes, and rebuild the reasoning with different names, values or wording while preserving the same decision. Start by stating the evidence that activates the method; then produce the response and a separate check. If the new surface detail changes the governing condition, explain why the earlier answer pattern must not be copied. The aim is not to repeat “Any difference was not resolved by the method and precision used.” from memory, but to recreate a justified answer from the new evidence.
Practice 12: Routine
Question. State the checks.
Explained answer. Reporting unit, possible interval, original versus display, instrument resolution, purpose and bounded conclusion.
Why this earns trust. They control hidden information.
Transfer variation. Close the answer, wait several minutes, and rebuild the reasoning with different names, values or wording while preserving the same decision. Start by stating the evidence that activates the method; then produce the response and a separate check. If the new surface detail changes the governing condition, explain why the earlier answer pattern must not be copied. The aim is not to repeat “Reporting unit, possible interval, original versus display, instrument resolution, purpose and bounded conclusion.” from memory, but to recreate a justified answer from the new evidence.
A four-session mastery cycle
Session 1: construct. Read the mechanism once, cover it and write a three-line model containing the trigger, the operation and the check. Add one example and one near-miss. Compare only after the model is complete. If the operation is right but the trigger is missing, the knowledge is unsafe because it may be applied in the wrong place.
Session 2: discriminate. Mix six items: two that clearly require this method, two that tempt the method but violate a condition, and two that require another skill. For every item, write “use” or “do not use” before answering. Accuracy in method selection matters more than speed at this stage.
Session 3: explain. Give a complete answer to an imagined classmate. Include the smallest sufficient evidence, the mechanism and the independent check. Remove any sentence that merely repeats the question or adds an unsupported claim. A concise causal explanation is stronger than a longer collection of familiar words.
Session 4: perform. Attempt a timed mixed set without notes. Mark uncertain decisions, but continue. During review, classify each error as trigger, evidence, operation, scope, unit or check. Reattempt one changed version after a delay. Mastery is shown when the learner chooses and adapts the method without needing the original example beside it.
Delayed transfer: prove that the learning lasts
Transfer test 1: English
Preserve about, approximately and to the nearest.
Success criterion. Approximation is not rewritten as exactness.
Transfer test 2: Mathematics
Recover intervals and delay rounding.
Success criterion. Calculations and comparisons keep valid precision.
Transfer test 3: Science
Match claims to instrument resolution.
Success criterion. No undetected difference is overclaimed.
Transfer test 4: Data reading
Treat displayed ties cautiously.
Success criterion. Ranking waits for unrounded evidence.
Examination control
1. Name the target. State exactly what the question asks before choosing a method.
2. Expose the relationship. Write the grammatical, geometrical, causal or measurement link that controls the answer.
3. Use decisive evidence. Select the smallest fact, calculation or observation that settles the point.
4. Check the boundary. Reject a nearby claim that is not supported by the stated conditions.
5. Present precisely. Keep units, direction, certainty, reference points and scope visible.
Under time pressure, compress the method to precision → interval → displayed equality only → instrument resolution → purpose → bounded conclusion. The compressed routine is useful only after the full reasoning is understood. If it produces uncertainty, expand the step instead of guessing.
A compact error log
Label errors as unit missing, interval boundary wrong, display/original merged, resolution ignored, early rounding, false tie break or invented precision.
Repair by drawing the rounding interval and writing what the instrument could actually distinguish.
Notes for parents and tutors
Round grocery weights to different units and compare the information lost.
Use rulers with different markings on the same object.
Ask whether matching displays prove matching originals.
Keep calculator digits until the requested final rounding step.
Discuss when an estimate is sufficient and when a threshold needs exact data.
Frequently asked questions
Can different values round to the same number?
Yes.
Do matching rounded values prove exact equality?
No.
What interval rounds to 7 to the nearest whole?
6.5 up to but not including 7.5.
Why exclude the upper boundary?
It rounds to the next whole number.
What does instrument resolution change?
It limits detectable differences.
Should I add more decimal places?
Only when measurement and task support them.
When should I round a calculation?
Usually at the instructed final stage.
Fastest check?
Separate the displayed value from the possible originals.
Next routes
Return to the complete volume directory to locate the series, use the original PSLE Learning Guide for the foundation route, and continue through PSLE English, PSLE Mathematics, PSLE Science for verified subject guidance. The next useful task is a mixed set in which this idea is sometimes relevant and sometimes irrelevant; that is where the learner must choose a method rather than imitate one.