13.2 MSR Question Formats: Multiple Choice and Three-Part Dichotomous Questions

13.2 MSR Question Formats: Multiple Choice and Three-Part Dichotomous Questions

Quick Summary: In the Data Insights section of the GMAT Focus Edition, Multi-Source Reasoning questions test your analytical precision through two distinct formats: standard 5-choice multiple-choice items and 3-part dichotomous question sets (e.g., Yes/No, True/False, Supported/Not Supported). The cardinal rule of dichotomous scoring is zero partial credit—you must answer all three parts correctly to earn credit for the question. This structural mechanic dramatically alters time management, risk assessment, and evidentiary standards, requiring you to treat each of the three statements as a formal logical deduction rather than an impressionistic reading check.

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The Dual Formats of MSR Questions

An MSR source set can support multiple questions in sequence. These questions alternate between two distinct interaction designs:

1. Standard 5-Option Multiple-Choice: Traditional radio-button items requiring you to select the single best answer among five alternatives. These frequently test complex multi-tab arithmetic, weighted averages, or multi-step optimizations where the on-screen calculator is valuable.
2. Three-Part Dichotomous Question Sets: A tabular grid presenting three independent declarative statements. For each statement, you must select one of two opposing radio buttons (e.g., Yes vs. No, True vs. False, Consistent vs. Inconsistent, or Supported vs. Not Supported).

+-------------------------------------------------------------------------------------------------------+
| Consider each of the following statements. Based on the information provided, select Yes if the      |
| statement is supported by the sources. Otherwise, select No.                                          |
|                                                                                                       |
|   Yes     No                                                                                          |
|   ( )     ( )   1. If Patient Cohort C had received the amended dosage, its adverse reaction rate     |
|                    would have remained below the protocol ceiling of 5.0%.                            |
|   ( )     ( )   2. The total expenditure for Phase II clinical testing exceeded the preliminary       |
|                    budget allocated in the initial protocol by more than $1.2 million.                |
|   ( )     ( )   3. No patient enrolled in the trial prior to June 1 was excluded under the revised    |
|                    biomarker threshold.                                                               |
+-------------------------------------------------------------------------------------------------------+

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The All-or-Nothing Scoring Rule and Strategic Pacing

The most critical structural aspect of GMAT Focus Data Insights is the scoring algorithm for multi-part questions:

• Credit Awarded: All three statements (Part 1, Part 2, AND Part 3) are answered correctly.
• Zero Credit Awarded: Any single part is answered incorrectly (even if 2 out of 3 are correct).

There is no partial credit. Answering two statements correctly and missing the third does not earn partial credit for that item.

The Mathematical Reality of Compound Probability

Consider the mathematics of guessing on a 3-part binary item compared to a standard 5-option multiple-choice item:

• Random guess on 5-option MC: Probability of correct answer = 1 / 5 = 20.0%
• Random guess on 3-part Dichotomous Set: Probability of all 3 correct = (1/2) * (1/2) * (1/2) = 1 / 8 = 12.5%

Because the probability of guessing an entire triplet correctly is lower than the probability of guessing a standard five-option item, blind guessing has a lower chance of success.

Conversely, if you definitively solve two of the three statements and must guess on the third, your conditional probability of earning the point rises to 50.0%. Therefore, you must manage your time so that you do not abandon a dichotomous set after verifying only one statement.

Pacing Discipline: The 2.5-Minute Cutoff

A common psychological trap in MSR dichotomous sets is the sunk cost fallacy. A candidate spends 90 seconds verifying Statement 1 and Statement 2, but gets bogged down in a complex mathematical verification on Statement 3. Frustrated by the prospect of losing credit for the first two statements, the candidate spends another 2 minutes on Statement 3, burning 3.5 to 4 minutes on a single question.

Practice starting point: Try a budget of approximately 2 to 2.5 minutes for a three-part dichotomous item, then adjust from official-practice data. If one part remains unresolved at your cutoff, make the best supported selection and protect the pacing of later questions. This is a preparation heuristic, not an official per-item time limit.

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Evidentiary Standards: "Supported" vs. "Not Supported"

Test-takers with strong real-world business experience often struggle with GMAT dichotomous questions because they conflate empirical real-world plausibility with formal textual proof.

On the GMAT Focus Edition, the evidentiary standard is absolute:

• Supported (Yes / True): The statement is a direct mathematical certainty or an unavoidable logical deduction based exclusively on the provided text, tables, and communications. If there is any scenario under which the provided facts hold true but the statement is false, the statement is NOT supported.
• Not Supported (No / False): The statement is either directly contradicted by the data OR it makes a claim that cannot be proven definitively from the sources, even if it is highly likely, reasonable, or common practice in business.

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Comprehensive Worked Walkthrough: PharmaCorp Clinical Trial

Let us examine a complete multi-source problem set featuring both question formats.

Tab 1: Protocol Guidelines

PharmaCorp Protocol 408: Phase II Oncology Trial

• Cohort Enrollment: Eligible cohorts are classified by biomarker expression level: Low Expression (< 25%), Medium Expression (25% - 60%), and High Expression (> 60%).
• Safety Ceiling: If a cohort exhibits a Severe Adverse Event (SAE) rate exceeding 6.0%, administration must be suspended immediately.
• Efficacy Benchmark: A cohort is designated a 'Positive Responder' if its 12-week objective response rate (ORR) is at least 40.0%.

Tab 2: Cohort Trial Results

Tab 3: Steering Committee Communications

Date: August 14
From: Dr. Marcus Vance, Chief Medical Officer
To: Clinical Trial Steering Committee
While Cohort 3 demonstrates robust efficacy (51.0% ORR), its SAE rate is concerning. Under Protocol 408, its SAE rate is 8 / 100 = 8.0%, exceeding our 6.0% safety ceiling. However, retrospective biomarker sequencing reveals that 20 patients originally assigned to Cohort 3 actually had High Expression biomarkers (> 60%). None of these 20 patients experienced an SAE, and 14 of them achieved an objective response.

Effective immediately, those 20 patients are reclassified into a newly formed sub-cohort, Cohort 3-High, leaving 80 patients in Cohort 3-Adjusted (Medium Expression). We must recalculate compliance based on these adjusted figures.

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Question 1: 5-Option Multiple Choice Walkthrough

Question Prompt:
Following the patient reclassification described in Tab 3, what is the Severe Adverse Event (SAE) rate of Cohort 3-Adjusted?

(A) 6.0%
(B) 8.0%
(C) 10.0%
(D) 12.5%

Step-by-Step Analytical Solution

1. Identify the Target: SAE rate of Cohort 3-Adjusted = (SAE cases in Cohort 3-Adjusted / Total patients in Cohort 3-Adjusted) * 100%.
2. Extract Data from Tab 2: Cohort 3 originally had 100 enrolled patients and 8 patients with an SAE.
3. Apply Amendments from Tab 3:
   • Total patients removed from Cohort 3: 20 patients.
   • Remaining patients in Cohort 3-Adjusted: 100 - 20 = 80 patients.
   • SAE cases among the 20 removed patients: Tab 3 explicitly states "None of these 20 patients experienced an SAE."
   • Remaining SAE cases in Cohort 3-Adjusted: 8 - 0 = 8 cases.
4. Calculate Final Percentage:
   $\text{SAE Rate} = \frac{8}{80} = 10.0\%$
5. Evaluate Choices: The calculated value is exactly 10.0%, matching Choice (C).

Notice the trap: A candidate who assumes the 8 SAEs were distributed proportionally across all 100 patients would compute 8.0% (Choice B), failing to synthesize the explicit factual detail in Tab 3 that none of the reclassified patients suffered an SAE.

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Question 2: Three-Part Dichotomous Question Walkthrough

Question Prompt:
For each of the following statements, select Yes if the statement can be inferred from the provided sources. Otherwise, select No.

Yes	No	Statement
( )	( )	Statement 1: Prior to the reclassification on August 14, exactly three cohorts satisfied both the safety ceiling and the efficacy benchmark under Protocol 408.
( )	( )	Statement 2: The 12-week Objective Response Rate (ORR) for the newly formed Cohort 3-High is 70.0%.
( )	( )	Statement 3: Across all 410 enrolled patients in the trial, the overall Severe Adverse Event rate was less than 5.5%.

Analytical Deconstruction Statement by Statement

• Evaluating Statement 1:

  • Criteria from Tab 1: Safety ceiling is SAE rate <= 6.0%. Efficacy benchmark is ORR >= 40.0%.
  • Check each original cohort in Tab 2:
    • Cohort 1: SAE = 4 / 80 = 5.0% <= 6.0% (Safe). ORR = 28.0% < 40.0% (Fails efficacy).
    • Cohort 2: SAE = 6 / 120 = 5.0% <= 6.0% (Safe). ORR = 42.5% >= 40.0% (Passes both).
    • Cohort 3: SAE = 8 / 100 = 8.0% > 6.0% (Fails safety ceiling).
    • Cohort 4: SAE = 2 / 60 = 3.33% <= 6.0% (Safe). ORR = 45.0% >= 40.0% (Passes both).
    • Cohort 5: SAE = 4 / 50 = 8.0% > 6.0% (Fails safety ceiling: 4 / 50 = 8.0%).
  • Cohorts passing both prior to reclassification: Only Cohort 2 and Cohort 4 (exactly two cohorts, not three).
  • Verdict for Statement 1: No.

• Evaluating Statement 2:

  • Tab 3 provides specific data for the 20 reclassified patients comprising Cohort 3-High: "14 of them achieved an objective response."
  • Total patients in Cohort 3-High = 20.
  • ORR for Cohort 3-High = 14 / 20 = 70.0%.
  • This matches the claim precisely.
  • Verdict for Statement 2: Yes.

• Evaluating Statement 3:

  • Sum total enrolled patients across Tab 2: 80 + 120 + 100 + 60 + 50 = 410 patients.
  • Sum total patients with SAE across Tab 2: 4 + 6 + 8 + 2 + 4 = 24 patients.
  • Compute overall SAE rate:
    $\text{Overall SAE Rate} = \frac{24}{410} \approx 5.85\%$
  • The statement claims the overall SAE rate was less than 5.5%. Because 5.85% > 5.5%, the claim is mathematically false.
  • Verdict for Statement 3: No.

Final Correct Dichotomous Triplet: Statement 1 = No; Statement 2 = Yes; Statement 3 = No.

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Common Traps in Dichotomous Question Sets

1. Affirming Plausible Causation: Selecting "Yes" for a statement asserting why a trend occurred when the tables only demonstrate that it did occur.
2. The Partial Set Trap: Forgetting to evaluate all entities in a group. In Statement 1 above, failing to calculate Cohort 5's SAE rate (4 / 50 = 8.0%) might lead a candidate to believe Cohort 5 was compliant.
3. Reversal of Conditional Logic: Interpreting "All patients who received 100 mg experienced an ORR above 50%" as equivalent to "All patients with an ORR above 50% received 100 mg".