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GMAT Question of the Day

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Friday, November 6, 2026

A logistics company is analyzing delivery performance using data from three operational systems:

Source 1 - Order Management: In October, 8,940 orders were processed with promised delivery times averaging 4.2 days. Orders were distributed as follows: 35% same-city, 45% regional, 20% national.

Source 2 - Fleet Tracking: Vehicle logs show 2,150 same-city deliveries averaging 1.8 days, 3,420 regional deliveries averaging 3.5 days, and 1,680 national deliveries averaging 7.1 days.

Source 3 - Customer Feedback: Survey responses from 1,247 customers indicate actual delivery times of 2.1 days for same-city, 3.8 days for regional, and 7.3 days for national deliveries. Response rate was consistent across all delivery types.

What is the most significant consistency issue when comparing these three data sources?

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Question of the Day

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A logistics company is analyzing delivery performance using data from three operational systems:

Source 1 - Order Management: In October, 8,940 orders were processed with promised delivery times averaging 4.2 days. Orders were distributed as follows: 35% same-city, 45% regional, 20% national.

Source 2 - Fleet Tracking: Vehicle logs show 2,150 same-city deliveries averaging 1.8 days, 3,420 regional deliveries averaging 3.5 days, and 1,680 national deliveries averaging 7.1 days.

Source 3 - Customer Feedback: Survey responses from 1,247 customers indicate actual delivery times of 2.1 days for same-city, 3.8 days for regional, and 7.3 days for national deliveries. Response rate was consistent across all delivery types.

What is the most significant consistency issue when comparing these three data sources?

  1. Source 2 delivery counts don't align with Source 1 distribution percentages, suggesting incomplete fleet tracking or order classification errors. (correct answer)
  2. Source 3 customer feedback shows delivery times that are consistently longer than Source 1 promises, but this reflects realistic expectation management.
  3. Sources 2 and 3 show similar actual delivery times, but both contradict Source 1's promised delivery average in ways that suggest systematic timing calculation errors.
  4. The survey response rate mentioned in Source 3 is insufficient to validate the delivery time claims against the operational data from Sources 1 and 2.

Explanation: Source 1 indicates order distribution of 35% same-city (3,129 orders), 45% regional (4,023 orders), and 20% national (1,788 orders) based on 8,940 total orders. Source 2 shows 2,150 + 3,420 + 1,680 = 7,250 total deliveries, which is significantly less than 8,940 orders processed. Additionally, the proportions don't match: Source 2 shows 2,150/7,250 = 29.7% same-city vs. 35% expected. This suggests incomplete tracking or classification problems. Choice B incorrectly characterizes the relationship between promises and actual times. Choice C is wrong because the weighted average of actual times roughly matches promises. Choice D misses the more fundamental counting discrepancy.