Table Analysis
63 soru
The table below displays quarterly logistics metrics for five regional distribution hubs of a global shipping enterprise in 2025:
| Hub | Total Units Shipped | Air Freight Share (%) | Q1 Avg Shipping Cost per Unit ($) | Q4 Avg Shipping Cost per Unit ($) |
|---|---|---|---|---|
| North | 50,000 | 30% | 120 | 168 |
| South | 60,000 | 40% | 200 | 260 |
| East | 40,000 | 25% | 150 | 213 |
| West | 75,000 | 20% | 160 | 192 |
| Central | 30,000 | 35% | 80 | 108 |
For the hub that experienced the greatest percentage increase in average shipping cost per unit from Q1 to Q4, what is the ratio of its air freight unit volume to the non-air freight unit volume of the hub with the highest total overall expenditure in Q4?
The table below details capital allocation, exit valuations, active portfolio companies, and successful exits across five high-technology sectors for a venture capital firm in 2026.
| Sector | Capital Invested ($M) | Realized Exit Valuation ($M) | Active Portfolio Companies | Successful Exits |
|---|---|---|---|---|
| AI Infrastructure | 450 | 1,350 | 18 | 6 |
| Clean Energy | 320 | 560 | 16 | 4 |
| Enterprise SaaS | 600 | 1,500 | 25 | 10 |
| Advanced Robotics | 250 | 375 | 10 | 3 |
| BioHealth & Genomics | 400 | 880 | 12 | 5 |
Evaluate the following statement based on the data provided:
The overall return multiple (total realized exit valuation divided by total capital invested across all five sectors combined) is less than the percentage return on investment (net gain divided by capital invested) achieved by the BioHealth & Genomics sector.
The table below displays performance metrics for six maritime shipping ports.
| Port | Region | Tonnage (M Tons) | On-Time Arrival Rate (%) | Operational Cost ($M) |
|---|---|---|---|---|
| Port A | East | 45 | 88 | 12 |
| Port B | West | 60 | 88 | 15 |
| Port C | East | 60 | 92 | 14 |
| Port D | North | 30 | 95 | 10 |
| Port E | West | 45 | 85 | 11 |
| Port F | East | 60 | 85 | 16 |
If the table is sorted first by Tonnage (M Tons) in descending order, and any ties are broken by On-Time Arrival Rate (%) in descending order, Port B will be listed second from the top.
The table below presents operational and maintenance data for seven municipal water pumping stations across four municipal districts.
| Station Code | District | Facility Age (Years) | Energy Consumption (kWh/m³) | Maintenance Backlog ($k) | Annual Outages |
|---|---|---|---|---|---|
| Alpha-1 | North | 14 | 0.85 | 140 | 3 |
| Bravo-4 | South | 22 | 1.12 | 210 | 5 |
| Charlie-2 | East | 14 | 0.78 | 185 | 2 |
| Delta-9 | North | 28 | 1.25 | 95 | 5 |
| Echo-3 | West | 22 | 0.94 | 210 | 1 |
| Foxtrot-7 | South | 18 | 1.05 | 160 | 4 |
| Golf-5 | West | 14 | 0.85 | 120 | 2 |
Statement: If the table is sorted in ascending order by Facility Age (Years), with any ties broken by sorting in descending order by Maintenance Backlog ($k), then among the stations with a Facility Age of 14 years, the station with the lowest Energy Consumption rating is listed immediately after the station with the highest Annual Outages count.
The table below presents performance and operational metrics for 8 regional microgrid energy storage facilities.
| Facility | Technology | Storage Capacity (MWh) | Round-Trip Efficiency (%) | Maintenance Cost ($/MWh) |
|---|---|---|---|---|
| M-1 | Solar+Storage | 45 | 88.5 | 14.20 |
| M-2 | Hybrid | 60 | 91.0 | 16.50 |
| M-3 | Wind+Storage | 50 | 88.5 | 12.80 |
| M-4 | Hybrid | 40 | 91.0 | 15.10 |
| M-5 | Solar+Storage | 55 | 92.0 | 13.80 |
| M-6 | Hybrid | 70 | 89.5 | 18.00 |
| M-7 | Wind+Storage | 65 | 93.5 | 11.50 |
| M-8 | Solar+Storage | 35 | 88.5 | 15.00 |
Suppose the table is sorted according to the following sequential rules:
1. Primary sort: Technology in ascending alphabetical order.
2. Secondary sort (tie-breaker for identical Technology): Round-Trip Efficiency in descending order (highest to lowest).
3. Tertiary sort (tie-breaker for identical Technology and Round-Trip Efficiency): Maintenance Cost in ascending order (lowest to highest).
After applying this multi-column ordering, what is the Storage Capacity (in MWh) of the facility ranked 5th from the top?
The table below presents operational metrics and financial allocations for six municipal water treatment facilities in 2025.
| Facility | Total Water Processed (Million Gallons) | Recycled Water (Million Gallons) | Distribution Loss Rate (%) | Annual Operating Budget ($ Millions) |
|---|---|---|---|---|
| Alton | 450 | 90 | 8% | 18.0 |
| Belton | 600 | 150 | 12% | 21.0 |
| Colton | 350 | 70 | 6% | 14.0 |
| Dalton | 700 | 210 | 15% | 22.4 |
| Easton | 500 | 130 | 10% | 17.5 |
| Fulton | 400 | 80 | 5% | 16.0 |
For the facility with the lowest operating budget per million gallons of total water processed, what percentage of its total processed water was recycled?
The table below displays operational performance metrics for 10 regional cold-chain distribution centers operated by a pharmaceutical logistics company across two geographic zones.
| Distribution Center | Zone | Cold Storage Volume () | Temperature Excursions | On-Time Delivery Rate (%) |
|---|---|---|---|---|
| Center H-1 | Zone East | 45 | 12 | 94.2 |
| Center H-2 | Zone West | 80 | 18 | 91.5 |
| Center H-3 | Zone East | 60 | 8 | 96.8 |
| Center H-4 | Zone East | 30 | 22 | 89.0 |
| Center H-5 | Zone West | 55 | 14 | 93.4 |
| Center H-6 | Zone East | 75 | 5 | 98.1 |
| Center H-7 | Zone West | 40 | 16 | 92.0 |
| Center H-8 | Zone East | 90 | 11 | 95.5 |
| Center H-9 | Zone West | 65 | 9 | 95.0 |
| Center H-10 | Zone East | 50 | 15 | 92.6 |
By how many percentage points does the median On-Time Delivery Rate of the distribution centers in Zone East exceed the mean On-Time Delivery Rate of all 10 distribution centers?
The table below provides operational metrics for 10 international clinical trial sites participating in a multi-center biopharmaceutical study:
| Site ID | Therapeutic Area | Patients Enrolled | Drop-out Rate (%) | Average Treatment Duration (Days) |
|---|---|---|---|---|
| Site A | Oncology | 42 | 12.5 | 180 |
| Site B | Immunology | 56 | 8.0 | 120 |
| Site C | Oncology | 30 | 15.0 | 225 |
| Site D | Neurology | 64 | 6.25 | 90 |
| Site E | Oncology | 78 | 10.0 | 150 |
| Site F | Immunology | 48 | 12.5 | 135 |
| Site G | Oncology | 50 | 14.0 | 165 |
| Site H | Neurology | 32 | 9.375 | 105 |
| Site I | Oncology | 60 | 5.0 | 195 |
| Site J | Immunology | 40 | 10.0 | 150 |
Statement: For the subset of clinical trial sites with a drop-out rate of at least 10.0%, the median Average Treatment Duration exceeds the median Patients Enrolled by more than 110 days.
The table below details performance and financial metrics for 10 municipal express bus routes operated by a regional transit authority:
| Route ID | Zone Type | Daily Ridership (Thousands) | On-Time Performance (%) | Operating Cost per Passenger ($) |
|---|---|---|---|---|
| Route U1 | Urban Core | |||
| Route U2 | Urban Core | |||
| Route U3 | Urban Core | |||
| Route U4 | Urban Core | |||
| Route U5 | Urban Core | |||
| Route U6 | Urban Core | |||
| Route S1 | Suburban | |||
| Route S2 | Suburban | |||
| Route S3 | Suburban | |||
| Route S4 | Suburban |
Based on the table, what is the median Operating Cost per Passenger ($) for the express bus routes operating in the Urban Core zone?
The table below presents energy and cost metrics for six commercial data center facilities operated by a cloud computing provider in fiscal year 2025.
| Facility | IT Load Capacity (MW) | Renewable Energy Used (GWh) | Total Energy Consumption (GWh) | Operational Cost ($M) |
|---|---|---|---|---|
| Alpha | 40 | 180 | 240 | 36.0 |
| Beta | 65 | 312 | 390 | 54.6 |
| Gamma | 25 | 100 | 160 | 22.4 |
| Delta | 80 | 360 | 480 | 72.0 |
| Epsilon | 50 | 225 | 300 | 42.0 |
| Zeta | 90 | 486 | 540 | 75.6 |
Statement: If the operational cost of facility Beta increases by 15% in 2026 while its IT load capacity remains unchanged, its 2026 operational cost per megawatt (MW) of IT load capacity will exceed the 2025 operational cost per megawatt of facility Alpha by more than 8%.
The table below details 2025 performance and operational metrics for seven metropolitan transit corridors:
| Corridor Code | Vehicle Fleet Size (Buses) | Zero-Emission Vehicles (%) | On-Time Departure Rate (%) | Annual Passenger Trips (Millions) | Operating Cost per Passenger Trip ($) |
|---|---|---|---|---|---|
| C-North | 120 | 45% | 92% | 18.0 | $2.40 |
| C-South | 200 | 60% | 85% | 32.0 | $1.95 |
| C-East | 80 | 25% | 94% | 10.0 | $3.10 |
| C-West | 150 | 40% | 88% | 22.5 | $2.20 |
| C-Central | 250 | 70% | 81% | 45.0 | $1.80 |
| C-Harbor | 90 | 55% | 90% | 12.0 | $2.85 |
| C-Airport | 110 | 30% | 96% | 15.0 | $2.60 |
Match each of the three statements on the left with its correct evaluation description on the right based on the data provided.
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The table below details semiconductor fabrication performance metrics across eight production lines during Q2 2026:
| Fab Line | Process Node (nm) | Monthly Wafers (thousands) | Defect Density (defects/cm²) | Yield Rate (%) | R&D Intensity ($/wafer) |
|---|---|---|---|---|---|
| Line A | 3 | 45 | 0.28 | 78.5% | 420 |
| Line B | 5 | 80 | 0.22 | 84.0% | 310 |
| Line C | 7 | 120 | 0.15 | 91.2% | 180 |
| Line D | 14 | 150 | 0.08 | 95.6% | 95 |
| Line E | 3 | 35 | 0.34 | 72.0% | 460 |
| Line F | 5 | 90 | 0.18 | 86.5% | 290 |
| Line G | 7 | 110 | 0.12 | 93.0% | 210 |
| Line H | 28 | 200 | 0.04 | 98.2% | 50 |
Evaluate the truth value of the following claim regarding three boolean statements about the dataset:
Statement I: Among the Fab Lines with a Process Node of 7 nm or smaller, the median Defect Density is greater than the mean Defect Density of lines producing more than 100 thousand Monthly Wafers.
Statement II: The weighted average Yield Rate across all 3 nm and 5 nm Fab Lines combined (weighted by Monthly Wafers) is less than 82.0%.
Statement III: When the table is sorted in descending order of R&D Intensity ($/wafer), the Fab Line in the third row has a higher Yield Rate than the Fab Line with the lowest overall Defect Density.
Claim: Evaluating statements I, II, and III yields True, False, and False, respectively.
The table below presents quarterly operational metrics for 10 semiconductor fabrication plants:
| Plant ID | Region | Wafer Size | Defect Density (defects/cm²) | Operational Yield (%) |
|---|---|---|---|---|
| Fab 101 | Asia-Pacific | 300 mm | 1.8 | 94.2 |
| Fab 102 | Asia-Pacific | 300 mm | 2.4 | 92.6 |
| Fab 103 | Asia-Pacific | 300 mm | 3.1 | 89.5 |
| Fab 104 | Asia-Pacific | 300 mm | 3.7 | 88.0 |
| Fab 105 | Asia-Pacific | 300 mm | 4.3 | 86.4 |
| Fab 106 | Asia-Pacific | 300 mm | 5.1 | 83.1 |
| Fab 107 | North America | 300 mm | 2.2 | 93.0 |
| Fab 108 | North America | 200 mm | 4.8 | 85.0 |
| Fab 109 | Europe | 300 mm | 3.5 | 87.5 |
| Fab 110 | Europe | 200 mm | 5.5 | 81.0 |
Statement: For semiconductor fabrication plants with a wafer size located in the Asia-Pacific region, the median defect density is greater than .
The table below presents operational patient data across five regional health centers for fiscal year 2025.
| Regional Health Center | Total Inpatient Admissions | Emergency Department Visits | Outpatient Telehealth Consultations | 30-Day Inpatient Readmissions |
|---|---|---|---|---|
| Central Metro | 12,000 | 45,000 | 18,000 | 1,440 |
| North Ridge | 8,000 | 25,000 | 15,000 | 880 |
| Eastside | 15,000 | 60,000 | 20,000 | 1,500 |
| Valley Pines | 6,000 | 18,000 | 12,000 | 540 |
| West Coast | 10,000 | 32,000 | 14,000 | 1,100 |
Across all five regional health centers combined, what percentage of total inpatient admissions resulted in a 30-day inpatient readmission?
The table lists performance and cost metrics for 10 municipal water treatment facilities during the 2025 fiscal year:
| Facility ID | Region | Daily Capacity (MGD) | Average Turbidity (NTU) | Operating Cost ($/thousand gallons) |
|---|---|---|---|---|
| W-01 | North | 24.0 | 0.12 | 1.42 |
| W-02 | South | 18.0 | 0.25 | 1.85 |
| W-03 | North | 32.0 | 0.08 | 1.28 |
| W-04 | Central | 12.0 | 0.19 | 1.65 |
| W-05 | South | 28.0 | 0.15 | 1.56 |
| W-06 | Central | 40.0 | 0.10 | 1.18 |
| W-07 | North | 15.0 | 0.22 | 1.70 |
| W-08 | South | 22.0 | 0.14 | 1.50 |
| W-09 | Central | 35.0 | 0.11 | 1.34 |
| W-10 | North | 10.0 | 0.28 | 1.92 |
Based on the data provided, what is the median operating cost, in dollars per thousand gallons, for the facilities that have a daily capacity greater than 20.0 MGD?
The table below presents subscriber numbers and annual operating revenue data for five regional divisions of a telecommunications provider in fiscal year 2025.
| Region | Total Broadband Subscribers (thousands) | Fiber-Optic Subscribers (thousands) | Total Operating Revenue ($ millions) |
|---|---|---|---|
| North | 250 | 150 | 45.0 |
| South | 400 | 200 | 64.0 |
| East | 180 | 90 | 27.0 |
| West | 320 | 224 | 57.6 |
| Central | 500 | 350 | 80.0 |
Across the two regional divisions with the highest total operating revenue combined, fiber-optic subscribers represent what percentage of total broadband subscribers? Express your answer to the nearest tenth of a percent.
The table below displays operational metrics for eight semiconductor fabrication facilities (fabs).
| Fab ID | Region | Wafer Yield Rate (%) | Defect Density (defects/cm²) | Monthly Capacity (k Wafers) | Operating Cost per Wafer ($) |
|---|---|---|---|---|---|
| Fab Alpha | Asia-Pacific | 94.2 | 0.08 | 120 | 450 |
| Fab Beta | North America | 91.5 | 0.12 | 85 | 520 |
| Fab Gamma | Europe | 95.8 | 0.05 | 60 | 490 |
| Fab Delta | Asia-Pacific | 91.5 | 0.10 | 140 | 410 |
| Fab Epsilon | Europe | 93.0 | 0.09 | 95 | 475 |
| Fab Zeta | North America | 94.2 | 0.07 | 110 | 510 |
| Fab Eta | Asia-Pacific | 89.8 | 0.15 | 150 | 390 |
| Fab Theta | Europe | 95.8 | 0.06 | 70 | 465 |
Evaluate the following statement as True or False:
If the table is sorted primarily by Wafer Yield Rate (%) in descending order, and secondarily by Defect Density (defects/cm²) in ascending order to break ties, the facility ranked 4th has a lower Monthly Capacity than the facility ranked 3rd.
The table below presents operational and usage metrics for eight branch locations within a regional public library network during 2025:
| Branch Code | Total Volumes (thousands) | Active Cardholders (thousands) | Annual Circulations (thousands) | Operating Expenses ($ thousands) | Digital Resource Accesses (thousands) |
|---|---|---|---|---|---|
| CEN | 450 | 60 | 900 | 3,600 | 300 |
| NOR | 120 | 25 | 300 | 1,000 | 150 |
| EAS | 80 | 16 | 160 | 640 | 80 |
| WES | 150 | 20 | 240 | 960 | 120 |
| SOU | 200 | 40 | 500 | 1,500 | 250 |
| RIV | 90 | 18 | 225 | 720 | 90 |
| HAR | 110 | 22 | 220 | 880 | 110 |
| UPL | 160 | 32 | 480 | 1,440 | 160 |
Consider the following three statements regarding the data:
I. The median number of Annual Circulations among the branches with more than 20,000 Active Cardholders is greater than 350,000.
II. For Eastgate (EAS), the ratio of Annual Circulations per Total Volume is higher than that for West End (WES).
III. Exactly three branches satisfy both of the following conditions: Operating Expenses per Circulation are strictly less than $4.00, AND Digital Resource Accesses exceed 140,000.
Which of the following correctly identifies the truth values (True or False) of Statements I, II, and III, respectively?
The table below details operational metrics for 10 wind turbines managed by a renewable energy utility during the previous calendar year:
| Turbine ID | Region | Capacity (MW) | Availability (%) | Unplanned Maintenance (hours) |
|---|---|---|---|---|
| T-01 | Offshore | 6.0 | 94.2 | 48 |
| T-02 | Onshore | 4.0 | 97.5 | 18 |
| T-03 | Offshore | 8.0 | 91.0 | 84 |
| T-04 | Onshore | 3.5 | 98.1 | 12 |
| T-05 | Offshore | 6.0 | 95.8 | 36 |
| T-06 | Offshore | 8.0 | 93.5 | 62 |
| T-07 | Onshore | 4.0 | 96.0 | 24 |
| T-08 | Offshore | 6.0 | 92.4 | 70 |
| T-09 | Onshore | 3.5 | 98.8 | 8 |
| T-10 | Offshore | 8.0 | 96.5 | 28 |
Based on the table, what is the median number of unplanned maintenance hours for turbines located in the Offshore region?
The table below provides operational performance metrics for 10 electric vehicle (EV) charging hubs operated by a regional clean energy authority during the second quarter of 2026:
| Hub ID | Region | Fast Chargers | Daily Utilization Rate (%) | Average Session Duration (min) |
|---|---|---|---|---|
| H-101 | North | 12 | 72% | 28.5 |
| H-102 | Metro | 16 | 81% | 42.0 |
| H-103 | South | 8 | 58% | 35.0 |
| H-104 | Metro | 10 | 68% | 31.0 |
| H-105 | Metro | 14 | 88% | 46.5 |
| H-106 | West | 6 | 62% | 22.0 |
| H-107 | Metro | 20 | 75% | 38.0 |
| H-108 | North | 10 | 70% | 44.0 |
| H-109 | Metro | 8 | 74% | 34.0 |
| H-110 | Metro | 12 | 76% | 52.0 |
What is the median Average Session Duration, in minutes, for the subset of charging hubs with a Daily Utilization Rate exceeding 71%?