Build a source map before calculating
Note the time period, unit, population and definition in each tab. A figure can be numerically correct but irrelevant if it describes a different group or period.
DATA INSIGHTS · GMAT-DI-MSR-02 · DRAFT
Combine independent sources while preserving definitions, denominators and time periods
Note the time period, unit, population and definition in each tab. A figure can be numerically correct but irrelevant if it describes a different group or period.
Use the stated denominator for a rate. When combining groups, add numerators and denominators first, then calculate the overall rate.
A target or forecast describes a threshold or expectation, not an observed result. Compare it with actual data only after identifying the matching measure.
Region North receives 200 applications and approves 150. Region South receives 240 and approves 180. A policy requires at least a 72% approval rate in both regions. Which region has the higher rate, and does each satisfy the policy?
Conclusion: Comparing approval counts alone would incorrectly favor South. The relevant comparison is each count divided by its own applications.
A service team resolves 72 of 90 requests in one district and 45 of 60 in another. Find the overall resolution rate.
Conclusion: The larger district contributes more requests, so its rate has greater weight in the combined result.
A plan forecast 1,320 on-time deliveries from 1,500 shipments. The actual report shows 1,350 on-time deliveries from 1,500 shipments. Did the actual rate exceed the forecast rate, and by how many percentage points?
Conclusion: The actual result exceeded the forecast by 2 percentage points. A percentage-point difference is not a relative percent increase.
Read the question first and record the measure, period and population it asks about.
Open each source to locate its definitions and the matching values.
For a combined rate, aggregate the relevant counts before dividing.
Use only the evidence supplied; do not repair a source discrepancy with outside assumptions.
Comparing raw counts when sample sizes differ.
Averaging percentages without weighting by their denominators.
Treating a forecast or target as an actual result.
Combining data from different time periods or incompatible definitions.