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GMAT · Multi-Source Reasoning · TOPIC LESSON

Integrating and reconciling multiple sources

Join sources only after matching their dates, units, definitions and populations.

GMAT35 min study guide8 indexed sections

BY THE END, YOU CAN

  • Explain map each tab or source
  • Explain identify shared variables
  • Explain reconcile dates-units-populations
  • Explain trace a claim to evidence
  • Explain distinguish discrepancy from contradiction
  • Explain relevant versus irrelevant source
  • Explain combine textual and numeric evidence

BEFORE YOU START

  • Ratios and percentage calculations
  • Careful reading of conditions and source labels

Original educational lesson. Work through the examples before revealing the practice answers. This original lesson supports current GMAT study through an editorial skill map. It does not reproduce official questions, predict exam content or guarantee a score.

LEARN THROUGH ORIGINAL PRACTICE

Original GMAT-style worked examples and practice

All passages, examples and exercises here are original. No official GMAC questions, choices or explanations are reproduced. This independent preparation resource is not affiliated with or endorsed by GMAC. GMAT is a trademark of the Graduate Management Admission Council.

01 / UNDERSTAND & APPLY

Build a small map of the evidence

Multi-Source Reasoning presents a shared source set, potentially supporting more than one question. Map each tab by function: definitions, raw data, policy, update or interpretation. A map saves rereading without requiring you to memorize every number.

The original three-source set below is fictional. The figure keeps its unit and time differences visible. Use these sources for all questions labeled “May/June set” in this lesson.

Source 1 — Dispatch ledger, May only: Aster shipped 40 cartons, Birch 30 cartons and Cedar 50 cartons. Every carton contained 12 units. These are gross shipments, before returns.

Source 2 — Returns ledger, same May shipments: Aster had 24 units returned, Birch 36 and Cedar 0. All other shipped units were accepted. For this exercise, net accepted units = gross shipped units − returned units.

Source 3 — Operations memo: the June plan is Aster 45 cartons, Birch 35 and Cedar 50, each still containing 12 units. The memo calls the May network acceptance rate “above 95%.” June quantities are plans, not completed shipments.

Full-size scientific diagram. Swipe or scroll horizontally; keyboard users can focus the diagram and use arrow keys.

Three sources: one carefully joined calculationDispatch in May: Aster 40, Birch 30, Cedar 50 cartons, each 12 units. May returns: Aster 24, Birch 36, Cedar 0 units. June plans: Aster 45, Birch 35, Cedar 50 cartons of 12 units. Match depot and May before subtracting; June is a different period and is planned.Match depot + month; convert cartons to unitsSOURCE 1 · MAY DISPATCHAster: 40 cartonsBirch: 30 cartonsCedar: 50 cartons12 units per cartonSOURCE 2 · MAY RETURNSAster: 24 unitsBirch: 36 unitsCedar: 0 unitsSubtract from gross unitsSOURCE 3 · JUNE PLANAster: 45 cartonsBirch: 35 cartonsCedar: 50 cartonsPlan ≠ completed shipmentMay network: (40 + 30 + 50) × 12 − (24 + 36 + 0) = 1,380 net unitsThe memo’s May acceptance claim must be checked against May totals.
Original fictional source set. Returns are units; dispatch and plans are cartons.

ORIGINAL WORKED EXAMPLE

Find the evidence needed

May/June set: What is Aster’s net accepted May quantity?

  1. Source 1 supplies 40 cartons and 12 units per carton, giving 480 gross units.
  2. Source 2 supplies 24 returned units.
  3. Subtract within a common unit: 480−24=456. Source 3 is not needed.

Answer 456 units

02 / UNDERSTAND & APPLY

Join on shared variables, not nearby labels

A shared name is a join key only if its meaning and scope agree across sources. Match depot, month, product and measurement basis before combining values. A table row for May shipments does not automatically match a June forecast for the same depot.

Write the join explicitly: depot + May shipments links dispatch to returns. Units per carton then converts the dispatch count into the unit used by the return ledger. This prevents subtracting 24 units from 40 cartons.

ORIGINAL WORKED EXAMPLE

A valid network total

May/June set: What was the network’s total net accepted May quantity?

  1. Total cartons=40+30+50=120; gross units=120×12=1,440.
  2. Total returned units=24+36+0=60.
  3. Net accepted=1,440−60=1,380. The June plan is outside the question’s period.

Answer 1,380 units

ORIGINAL PRACTICE · 1

May/June set: What was Birch’s net accepted May quantity?

Reveal answer & reasoning

324 units

Birch gross=30×12=360. Subtract its 36 returned units to obtain 324.

ORIGINAL PRACTICE · 2

May/June set: How many units were planned for Aster in June?

Reveal answer & reasoning

540 units

Source 3 specifies 45 cartons, each containing 12 units. Planned units=45×12=540; this is not evidence that 540 were actually accepted.

03 / UNDERSTAND & APPLY

Reconcile time, unit and population boundaries

A comparison is meaningful only when its denominator and population are matched. Total returns divided by total shipped units measures a network rate. An average of depot rates instead gives each depot equal weight, regardless of its size.

Do not treat a reporting-date mismatch as an automatic contradiction. A plan can differ from an earlier actual count; gross shipments can exceed net accepted units; a subgroup percentage can differ from the whole. First ask whether both claims concern the same thing.

ORIGINAL WORKED EXAMPLE

The correct weighted acceptance rate

May/June set: Is the memo’s “above 95%” description of May network acceptance supported?

  1. May accepted units=1,380 and gross units=1,440.
  2. Acceptance=1,380/1,440=23/24≈95.83%.
  3. This exceeds 95%. Using net accepted units as the denominator would answer a different question.

Answer Yes, supported

ORIGINAL PRACTICE · 1

May/June set: Is the unweighted mean of depot acceptance rates equal to the network acceptance rate?

Reveal answer & reasoning

No

Depot rates are 456/480=95%, 324/360=90% and 600/600=100%. Their unweighted mean is 95%, whereas the shipment-weighted network rate is about 95.83%.

04 / UNDERSTAND & APPLY

Trace a claim back to the minimal evidence

For every conclusion, name the source facts and the logical bridge. A sentence in a memo may be a claim to evaluate rather than a fact that overrides the table. If the task asks whether the claim follows, verify it using the defined quantities.

The strength of the requested conclusion matters. “Can be consistent with” needs a compatible interpretation; “must follow” needs support in all allowed interpretations. Do not substitute a plausible operational story for missing evidence.

ORIGINAL WORKED EXAMPLE

A two-response evidence check

May/June set: Select Supported or Not supported for each of two rows: (i) Cedar supplied more than 40% of May net accepted units; (ii) Cedar will certainly supply 600 net accepted units in June.

  1. Row (i): Cedar accepted 600 of 1,380 units, or 10/23≈43.48%; the claim follows.
  2. Row (ii): June plan has 50×12=600 gross units, but actual shipment and return results are not given.
  3. Two responses are required for this one two-row exercise; neither row supplies evidence for the other.

Answer (i) Supported; (ii) Not supported

ORIGINAL PRACTICE · 1

May/June set: Which source or sources are needed to determine Cedar’s May gross units: 1 only, 2 only, or 1 and 3? Select one.

Reveal answer & reasoning

Source 1 only

The dispatch count of 50 cartons and 12 units per carton fixes 600 gross units. Returns and future plans are unnecessary.

05 / UNDERSTAND & APPLY

Distinguish difference from contradiction

Claims contradict only if they cannot both be true under the same relevant definitions and conditions. “Aster shipped 40 cartons in May” and “Aster plans 45 in June” can both be true. A claim that May gross shipments were exactly 500 units cannot agree with 40 cartons of 12 units.

When definitions are absent, the correct conclusion may be that reconciliation is unresolved. Do not manufacture a change in units or dates solely to rescue inconsistent evidence.

ORIGINAL WORKED EXAMPLE

Actual contradiction under fixed definitions

May/June set: An additional note says Birch’s gross May shipments were exactly 400 units. Is it compatible with Source 1 as written?

  1. Source 1 fixes Birch at 30 cartons of exactly 12 units.
  2. That implies exactly 360 gross May units.
  3. Both 360 and 400 cannot be the exact gross count for the same shipments; returns cannot explain a discrepancy in gross count.

Answer No; it contradicts Source 1

ORIGINAL PRACTICE · 1

May/June set: Does Aster’s June plan of 45 cartons contradict its May shipment of 40 cartons?

Reveal answer & reasoning

No

They describe different months and different statuses, planned versus actual. A difference in value is not by itself a contradiction.

06 / UNDERSTAND & APPLY

Ignore information only after checking its role

An apparently irrelevant memo may contain a definition or exception needed to interpret another tab. Conversely, a vivid narrative detail can be irrelevant even when it concerns the same organization. Relevance is determined by the question’s target.

For a simple May net count, June plans can be ignored. For a planned growth comparison, the June tab becomes essential. Reuse your map, but update which sources are needed for each question.

ORIGINAL PRACTICE · 1

May/June set: By what percent does total planned June carton count exceed actual May carton count?

Reveal answer & reasoning

8⅓%

June plan totals 45+35+50=130 cartons. May totals 120. Increase/May base=10/120=1/12=8⅓%. Return data do not affect carton shipment counts.

ORIGINAL PRACTICE · 2

May/June set: Do the sources establish why Birch’s return rate exceeded Aster’s?

Reveal answer & reasoning

No

The rates are 36/360=10% and 24/480=5%, but no evidence identifies a cause. Greater rate is a numeric comparison, not a causal explanation.

07 / UNDERSTAND & APPLY

Respect conditions and status words

Words such as planned, confirmed, estimated, at least and subject to alter what a source can establish. If a rule applies only to confirmed orders, a forecast is not enough to trigger it. If a source says exactly, do not silently soften it to approximately.

One question can ask for several binary judgments. Decide each directly from the sources; do not force the answers into a pattern or assume the interface must contain a certain number of yes responses.

ORIGINAL PRACTICE · 1

May/June set: Give Supported or Not supported for each of two rows: (i) Cedar had the largest May net accepted count; (ii) Aster’s May net count exceeded Birch’s by 132.

Reveal answer & reasoning

(i) Supported; (ii) Supported

Net counts are Aster 456, Birch 324 and Cedar 600. Cedar is largest; 456−324=132. Both independently follow.

08 / UNDERSTAND & APPLY

Audit the evidence chain

For each answer, state target → source values → unit conversion → rule or operation → conclusion. If any arrow requires an unstated assumption, weaken the conclusion or look for another source.

This method scales from tables and emails to graphs and policies: keep definitions near the values they control, preserve the shared-source set, and treat each actual question as a new reasoning task.

KEEP THE BIG IDEAS

Quick revision

  • Map sources by role before extracting numbers.
  • Join only compatible dates, populations and units.
  • A discrepancy is not necessarily a contradiction.
  • Plans, estimates and measured outcomes support different conclusions.
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