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Tables are the most common data presentation format in the UCAT Quantitative Reasoning subtest. Every test will include multiple table-based data sets, each with four questions. This lesson teaches you how to extract data efficiently, perform multi-step calculations, and avoid common table-reading errors.
The most important skill for table questions is locating the correct data quickly and accurately. Every second spent searching for a value is a second you cannot spend calculating.
Before looking at any question, read:
Identify exactly which values you need. Note:
Use a finger on the screen (or a mental "cross-hair") to trace from the row header across and the column header down to find the correct cell.
The Single Most Common Error: Reading the wrong row or column. If the table has many similarly labelled rows (e.g., monthly data), it is easy to slip by one row. Always double-check.
Many questions ask for a total across a row or down a column. Sometimes the total is given in the table; sometimes you must calculate it.
Data:
| Region | Q1 Sales | Q2 Sales | Q3 Sales | Q4 Sales |
|---|---|---|---|---|
| North | 340 | 380 | 410 | 430 |
| South | 520 | 490 | 530 | 560 |
| East | 290 | 310 | 280 | 330 |
| West | 410 | 420 | 450 | 470 |
Question: What were the total sales across all regions in Q3?
Solution: 410 + 530 + 280 + 450 = 1,670
Mean = Sum / Count
Question: What were the average quarterly sales for the North region?
Solution: (340 + 380 + 410 + 430) / 4 = 1,560 / 4 = 390
Range = Maximum - Minimum
Question: What is the range of Q2 sales across all regions?
Solution: Maximum Q2 = 520 (South was 490 — wait, let me recheck. Q2 column: 380, 490, 310, 420. Maximum = 490, Minimum = 310.)
Range = 490 - 310 = 180
Lesson: Always re-read the specific column when answering. Do not rely on memory from reading the whole table.
Many QR questions require two or more steps. The key is to identify ALL the values you need before starting to calculate.
Data:
| Item | Price per Unit (£) | Units Sold (January) | Units Sold (February) |
|---|---|---|---|
| Paracetamol | 0.85 | 1,200 | 1,450 |
| Ibuprofen | 1.20 | 800 | 750 |
| Aspirin | 0.65 | 600 | 680 |
Question: What was the total revenue from Paracetamol and Ibuprofen combined in February?
Solution:
Question: In January, what percentage of total revenue came from Aspirin?
Solution:
Comparison questions ask you to identify which row or column meets a particular criterion.
Data:
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