GMAT Data Insights: Multi-Source Reasoning 2

Question 1

In a GMAT Multi-Source Reasoning prompt, sources are typically arranged across two or three tabs. What is the most efficient first step before answering?

Accepted Answer

Skim all tabs to map what each contains, then return as questions demand

Answer

Memorize every number in all tabs

Answer

Answer only from the first tab

Answer

Ignore the tabs and read the question

Question 2

An MSR set shows an email (Tab 1) and a budget table (Tab 2). A question asks whether a proposed expense is approvable. Which approach is correct?

Accepted Answer

Combine the email's approval rule with the table's figures

Answer

Use only the email's tone

Answer

Assume any expense is approvable

Answer

Use the table alone and ignore the rule

Question 3

MSR yes/no (Inference) questions usually present three statements. How are they scored?

Accepted Answer

All three must be answered correctly for the item to count

Answer

Partial credit per statement

Answer

Only the first statement matters

Answer

Any one correct is enough

Question 4

A tab states a project starts on March 1 and lasts 6 weeks; another tab lists a hard deadline of April 10. Can the project finish on time?

Accepted Answer

No, it runs past April 10

Answer

Yes, six weeks from March 1 ends about April 12

Answer

Yes, it ends April 5

Answer

Cannot be determined

Question 5

When an MSR question gives a condition not directly stated in any tab, what should you do?

Accepted Answer

Apply the new condition to the existing data to test the outcome

Answer

Treat it as false automatically

Answer

Refuse to answer

Answer

Look for it verbatim in a tab

Question 6

Two tabs report a metric using different units (one in thousands, one in actual dollars). Before comparing, you must:

Accepted Answer

Convert to a common unit

Answer

Add them as-is

Answer

Pick the larger raw number

Answer

Average the labels

Question 7

Which behavior best describes effective MSR time management?

Accepted Answer

Reading the question first, then targeting the relevant tab(s)

Answer

Reading every tab in full before any question

Answer

Skipping all data

Answer

Answering from memory of the prompt intro