7 questions from actual RRB NTPC papers · all shown free · click option to reveal solution
Study the following tables and answer the questions. Table 1: Monthly Sales (in ₹ Lakhs) of Four Product Categories across Q1 2024
| Month | Electronics | Clothing | Home & Garden | Grocery |
|---|---|---|---|---|
| January | 45 | 32 | 28 | 55 |
| February | 50 | 35 | 30 | 60 |
| March | 60 | 40 | 35 | 65 |
Table 2: Customer Count (in thousands) and Return Rate (%) for Each Category in Q1 2024
| Category | Total Customers | Return Rate (%) |
|---|---|---|
| Electronics | 18 | 12 |
| Clothing | 24 | 8 |
| Home & Garden | 16 | 5 |
| Grocery | 40 | 2 |
Study the following tables and answer the questions. Table 1: Quarterly Sales (in lakhs ₹) of Five Companies
| Company | Q1 | Q2 | Q3 | Q4 |
|---|---|---|---|---|
| Alpha | 120 | 140 | 160 | 180 |
| Beta | 100 | 110 | 120 | 130 |
| Gamma | 150 | 145 | 155 | 165 |
| Delta | 80 | 95 | 110 | 125 |
| Epsilon | 110 | 115 | 120 | 125 |
Table 2: Employee Count at End of Each Quarter
| Company | Q1 | Q2 | Q3 | Q4 |
|---|---|---|---|---|
| Alpha | 240 | 280 | 320 | 360 |
| Beta | 200 | 220 | 240 | 260 |
| Gamma | 300 | 300 | 310 | 320 |
| Delta | 160 | 190 | 220 | 250 |
| Epsilon | 220 | 230 | 240 | 250 |
Mixed DI tests your ability to extract information from multiple visual formats and combine them to solve complex problems. Questions often require data from both graphs to reach the answer
Always read both graph titles and legends carefully. Identify what each axis represents. Note the units and scales used. Check if data represents absolute numbers, percentages, or ratios.
Look for common elements between both graphs like time periods, categories, or subjects.
SSC CGL typically asks 5 questions per set. Common question types include percentage calculations across graphs, ratio comparisons, finding averages, calculating differences, and trend analysis. Questions may ask for data from one graph only, but often require combining information from both.
Quickly scan both graphs to understand the relationship between them before reading questions 2
When graphs have different units (thousands vs lakhs), convert to same unit immediately to avoid calculation errors
Extract production data for 2019 from Bar Chart = 60 thousand cars
Extract export percentage for 2019 from Line Graph = 30%
Calculate exported cars = 60,000 × 30/100 = 18,000 cars
Convert to required unit = 18 thousand cars Answer: 18,000 cars or 18 thousand cars
Students often use data from wrong years, mix up absolute numbers with percentages, forget unit conversions, or use data from only one graph when both are required. Another frequent error is misreading scales or legends, especially when graphs use different scales. Time Management: Spend 30 seconds understanding both graphs, then 90 seconds per question. Don't get stuck on complex calculations - use approximation when answer choices are far apart.
20graded MCQs · easy to hard · full solution & trap analysis
Study the following table and answer the questions. Table 1: Monthly Sales of Electronics Store (in ₹ Lakhs)
| Month | Laptops | Mobiles | Tablets | Accessories |
|---|---|---|---|---|
| Jan | 12 | 18 | 8 | 4 |
| Feb | 15 | 20 | 10 | 5 |
| Mar | 18 | 22 | 12 | 6 |
| Apr | 20 | 25 | 14 | 7 |
| May | 22 | 28 | 16 | 8 |
| Jun | 25 | 30 | 18 | 9 |
Table 2: Number of Units Sold
| Month | Laptops | Mobiles | Tablets | Accessories |
|---|---|---|---|---|
| Jan | 40 | 180 | 80 | 200 |
| Feb | 50 | 200 | 100 | 250 |
| Mar | 60 | 220 | 120 | 300 |
| Apr | 80 | 250 | 140 | 350 |
| May | 110 | 280 | 160 | 400 |
| Jun | 125 | 300 | 180 | 450 |
Study the following tables and answer the questions. Table 1: Monthly Sales of Electronics Store (in ₹ thousands)
| Month | Laptops | Mobiles | Tablets | Headphones |
|---|---|---|---|---|
| Jan | 150 | 200 | 80 | 40 |
| Feb | 180 | 220 | 100 | 50 |
| Mar | 200 | 240 | 120 | 60 |
| Apr | 220 | 260 | 140 | 70 |
| May | 240 | 280 | 160 | 80 |
Table 2: Number of Units Sold
| Month | Laptops | Mobiles | Tablets | Headphones |
|---|---|---|---|---|
| Jan | 30 | 100 | 40 | 80 |
| Feb | 36 | 110 | 50 | 100 |
| Mar | 40 | 120 | 60 | 120 |
| Apr | 44 | 130 | 70 | 140 |
| May | 48 | 140 | 80 | 160 |
Study the following two tables showing sales data for an electronics company across different regions and quarters, then answer the questions. Table 1: Quarterly Sales (in lakhs ₹) by Region for Year 2023
| Region | Q1 | Q2 | Q3 | Q4 |
|---|---|---|---|---|
| North | 120 | 150 | 180 | 210 |
| South | 100 | 120 | 140 | 160 |
| East | 80 | 100 | 120 | 140 |
| West | 140 | 160 | 180 | 200 |
Table 2: Product Category Sales (in lakhs ₹) for Q3 and Q4 2023
| Category | Q3 | Q4 |
|---|---|---|
| Smartphones | 180 | 220 |
| Laptops | 150 | 180 |
| Tablets | 110 | 140 |
| Accessories | 80 | 100 |
Study the following two tables showing sales data for TechCorp Ltd. across different regions and quarters, then answer the questions. TABLE 1: Quarterly Sales (in ₹ Lakhs) by Region
| Region | Q1 | Q2 | Q3 | Q4 |
|---|---|---|---|---|
| North | 120 | 150 | 180 | 210 |
| South | 100 | 120 | 140 | 160 |
| East | 80 | 100 | 120 | 140 |
| West | 140 | 160 | 180 | 200 |
TABLE 2: Product Category Sales (in ₹ Lakhs) - Annual Data
| Category | Sales | Profit | Units Sold |
|---|---|---|---|
| Software | 360 | 144 | 1200 |
| Hardware | 280 | 70 | 700 |
| Services | 200 | 80 | 400 |
| Support | 120 | 60 | 600 |
Study the following two tables showing sales data for TechCorp Ltd. across different regions and quarters, then answer the questions. TABLE 1: Quarterly Sales (in ₹ Crores) by Region
| Region | Q1 | Q2 | Q3 | Q4 |
|---|---|---|---|---|
| North | 120 | 150 | 180 | 210 |
| South | 100 | 110 | 121 | 133 |
| East | 80 | 96 | 115 | 138 |
| West | 140 | 154 | 169 | 186 |
TABLE 2: Product Category Sales (in ₹ Crores) - Annual Breakdown
| Category | Q1 | Q2 | Q3 | Q4 | Annual Total |
|---|---|---|---|---|---|
| Software | 180 | 210 | 252 | 288 | 930 |
| Hardware | 140 | 160 | 180 | 200 | 680 |
| Services | 120 | 140 | 173 | 179 | 612 |
| Support | 0 | 0 | 0 | 0 | 0 |
Note: Total company sales = Sum of all regions across all quarters = Sum of all product categories across all quarters.
Study the following two tables showing production and sales data for a manufacturing company across 6 quarters, and answer the questions. TABLE 1: QUARTERLY PRODUCTION (in units)
| Quarter | Product A | Product B | Product C | Total |
|---|---|---|---|---|
| Q1 2023 | 1200 | 800 | 600 | 2600 |
| Q2 2023 | 1400 | 900 | 700 | 3000 |
| Q3 2023 | 1600 | 1100 | 800 | 3500 |
| Q4 2023 | 1800 | 1200 | 900 | 3900 |
| Q1 2024 | 2000 | 1300 | 1000 | 4300 |
| Q2 2024 | 2200 | 1400 | 1100 | 4700 |
TABLE 2: QUARTERLY SALES REVENUE (in ₹ lakhs)
| Quarter | Product A | Product B | Product C | Total |
|---|---|---|---|---|
| Q1 2023 | 360 | 240 | 150 | 750 |
| Q2 2023 | 490 | 315 | 175 | 980 |
| Q3 2023 | 640 | 385 | 200 | 1225 |
| Q4 2023 | 720 | 420 | 225 | 1365 |
| Q1 2024 | 800 | 455 | 250 | 1505 |
| Q2 2024 | 880 | 490 | 275 | 1645 |