24 questions from actual SSC MTS papers · all shown free · click option to reveal solution
Study the following table and answer the questions. The table below shows the sales data (in lakhs of rupees) of five product categories across four quarters of a financial year for TechMart Industries.
| Product Category | Q1 | Q2 | Q3 | Q4 |
|---|---|---|---|---|
| Smartphones | 120 | 150 | 180 | 210 |
| Laptops | 80 | 100 | 120 | 140 |
| Tablets | 60 | 75 | 90 | 105 |
| Accessories | 40 | 50 | 60 | 70 |
| Software | 50 | 60 | 70 | 80 |
Study the following table and answer the questions. The table below shows the sales (in lakhs of rupees) of five products across four quarters of a financial year:
| Product | Q1 | Q2 | Q3 | Q4 |
|---|---|---|---|---|
| A | 120 | 150 | 180 | 210 |
| B | 80 | 100 | 120 | 140 |
| C | 200 | 200 | 200 | 200 |
| D | 60 | 90 | 120 | 150 |
| E | 100 | 110 | 120 | 130 |
Study the following table and answer the questions. A retail company tracks quarterly sales performance across four product categories for the year 2023. The table below shows sales figures (in lakhs of rupees) and the number of units sold for each category.
| Quarter | Electronics | Clothing | Home & Garden | Sports Gear |
|---|---|---|---|---|
| Q1 Sales (₹ lakhs) | 450 | 280 | 120 | 90 |
| Q1 Units | 1500 | 2800 | 600 | 450 |
| Q2 Sales (₹ lakhs) | 540 | 315 | 150 | 105 |
| Q2 Units | 1800 | 3150 | 750 | 525 |
| Q3 Sales (₹ lakhs) | 630 | 350 | 180 | 120 |
| Q3 Units | 2100 | 3500 | 900 | 600 |
| Q4 Sales (₹ lakhs) | 720 | 420 | 210 | 150 |
| Q4 Units | 2400 | 4200 | 1050 | 750 |
Study the following table carefully and answer the questions based on the data provided. The table below shows the production and sales data (in units) of five electronic appliance manufacturing companies over three quarters of a financial year.
| Company | Q1 Production | Q1 Sales | Q2 Production | Q2 Sales | Q3 Production | Q3 Sales |
|---|---|---|---|---|---|---|
| Alpha | 5000 | 4500 | 5500 | 5200 | 6000 | 5800 |
| Beta | 4800 | 4200 | 5200 | 4800 | 5600 | 5400 |
| Gamma | 6000 | 5400 | 6500 | 6200 | 7000 | 6800 |
| Delta | 4500 | 4000 | 5000 | 4500 | 5500 | 5200 |
| Epsilon | 5200 | 4800 | 5800 | 5400 | 6200 | 6000 |
Note: All figures are in units. Unsold inventory = Production − Sales for each quarter.
Study the following table carefully and answer the questions based on the data provided. A manufacturing company tracks production and sales data across four quarters for three product lines: Electronics, Textiles, and Machinery. The table below shows units produced, units sold, and revenue (in lakhs) for each product line across Q1, Q2, Q3, and Q4.
| Product Line | Quarter | Units Produced | Units Sold | Revenue (Lakhs) |
|---|---|---|---|---|
| Electronics | Q1 | 5000 | 4500 | 450 |
| Electronics | Q2 | 5500 | 5200 | 520 |
| Electronics | Q3 | 6000 | 5800 | 580 |
| Electronics | Q4 | 6500 | 6200 | 620 |
| Textiles | Q1 | 8000 | 7200 | 288 |
| Textiles | Q2 | 8500 | 7650 | 306 |
| Textiles | Q3 | 9000 | 8100 | 324 |
| Textiles | Q4 | 9500 | 8550 | 342 |
| Machinery | Q1 | 3000 | 2700 | 540 |
| Machinery | Q2 | 3200 | 2880 | 576 |
| Machinery | Q3 | 3400 | 3060 | 612 |
| Machinery | Q4 | 3600 | 3240 | 648 |
Study the following table carefully and answer the questions based on the data provided. A manufacturing company tracks production output (in units) and defective units across 5 product lines (A, B, C, D, E) over two consecutive quarters (Q1 and Q2).
| Product Line | Q1 Production | Q1 Defective | Q2 Production | Q2 Defective |
|---|---|---|---|---|
| A | 8000 | 160 | 9600 | 192 |
| B | 6500 | 195 | 7150 | 214.5 |
| C | 5000 | 100 | 6000 | 120 |
| D | 7200 | 144 | 8640 | 172.8 |
| E | 4800 | 240 | 5280 | 264 |
Defect Rate = (Defective Units / Total Production) × 100%
Caselets in Data Interpretation are paragraph-based questions where data is presented in story format instead of charts or tables. These questions test your ability to extract numerical information from text and perform calculations. In SSC CGL, caselets typically appear as 3-5 questions based on one paragraph containing business scenarios, financial data, or statistical information. Key characteristics of caselets include mixed data presentation, multiple calculation steps, and real-world contexts like company profits, population studies, or survey results. The data is embedded within sentences, requiring careful reading to identify relevant numbers and relationships.
Common caselet patterns in SSC CGL include percentage calculations (profit/loss, growth rates), ratio and proportion problems, average and percentage combination, and simple interest/compound interest scenarios. Questions often involve finding missing values, comparing different entities, or calculating derived metrics. Formulas frequently used:
Percentage increase/decrease = (New Value - Old Value)/Old Value × 100 Average = Sum of all values/Number of values
Ratio calculation = Part/Whole × 100 Profit percentage = (Selling Price - Cost Price)/Cost Price × 100
Create a data extraction table while reading. Write down all numerical values with their labels in tabular format. This prevents re-reading and saves 30-40 seconds per question.
Extract data 2022 revenue = 50 lakhs 2023 revenue = 50 + 20% of 50 = 50 + 10 = 60 lakhs 2023 expenses = 60% of 60 = 36 lakhs 2023 profit = 16 lakhs
Verify (Revenue - Expenses = Profit) 60 - 36 = 24 lakhs (but profit given as 16 lakhs, so expenses = 60 - 16 = 44 lakhs)
Calculate expense percentage of 2022 revenue Expense percentage = (44/50) × 100 = 88% Another useful trick: Use approximation for quick elimination. If exact calculation seems time-consuming, round numbers to nearest 5 or 10 for faster computation, then match with closest option.
include misidentifying which year/entity the question refers to, mixing up base values for percentage calculations, and not verifying if calculated values make logical sense. Always cross-check your final answer against the given constraints in the paragraph.