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IBPS RRB PO Mixed DI (2-graph sets)

Study Material — 4 PYQs (2024–2024) · Concept Notes · Shortcuts

IBPS RRB PO Mixed DI (2-graph sets) is a frequently tested subtopic — 4 previous year questions from 2024–2024 papers are included below with concept notes, key rules and shortcut tricks.

4 PYQs

2024–2024

16 Practice

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8 Key Points

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Previous Year Questions

IBPS RRB PO Mixed DI (2-graph sets) — Past Exam Questions

4 questions from actual IBPS RRB PO papers · all shown free · click option to reveal solution

📊Data / Passage

Directions

Study the following tables and answer the questions. Table 1: Monthly Sales (in lakhs ₹) of Five Product Categories across Q1 2024

Month	Electronics	Clothing	Home & Garden	Sports	Books
January	45	32	28	18	12
February	50	35	30	20	14
March	55	38	35	25	16

Table 2: Profit Margin (%) for Each Category

Category	Profit Margin (%)
Electronics	20
Clothing	25
Home & Garden	30
Sports	35
Books	40

Exam Q 12024Previous Year Pattern

What is the total sales value (in lakhs ₹) for Electronics across all three months?

Exam Q 22024Previous Year Pattern

What is the ratio of February sales of Books to February sales of Home & Garden?

Exam Q 32024Previous Year Pattern

Which category generated the highest profit in March? (Use profit = sales × margin%)

Exam Q 42024Previous Year Pattern

By what percentage did Clothing sales increase from January to March?

Concept Notes

Mixed DI (2-graph sets)— Rules & Concept

1.Core Concept

Read this first — the foundation of the topic

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

Key Rules

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.

2.Exam Patterns

What examiners ask — read before attempting PYQs

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.

3.Shortcuts

Use these to save 30–60 seconds per question

Scan Method

Quickly scan both graphs to understand the relationship between them before reading questions 2

Unit Conversion Trick

When graphs have different units (thousands vs lakhs), convert to same unit immediately to avoid calculation errors

4.Worked Example

Solve this step-by-step before moving on

1

Step 1

Extract production data for 2019 from Bar Chart = 60 thousand cars

2

Step 2

Extract export percentage for 2019 from Line Graph = 30%

3

Step 3

Calculate exported cars = 60,000 × 30/100 = 18,000 cars

4

Step 4

Convert to required unit = 18 thousand cars Answer: 18,000 cars or 18 thousand cars

5.Exam Traps

Common mistakes students make — avoid these

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.

Key Points to Remember

Mixed DI combines two different graph types with related data themes
Always identify the relationship between both graphs before attempting questions
Check units and scales carefully - graphs may use different measurement units
Most questions require data from both graphs, not just one
Convert percentages to absolute numbers using: (Percentage × Total)/100
Read graph legends and axis labels completely to avoid misinterpretation
Use approximation when answer choices have significant gaps between them
Allocate 8-9 minutes total for 5 questions in mixed DI sets

Exam-Specific Tips

Mixed DI typically contributes 5 questions worth 10 marks in SSC CGL Tier-II
Bar Chart + Line Graph combination appears in 60% of mixed DI questions
Questions involving percentage calculations comprise 40% of mixed DI problems
Ratio and proportion questions account for 25% of mixed DI question types
Time period analysis questions appear in 80% of mixed DI sets
Average calculation questions feature in 30% of mixed DI problem sets
Unit conversion errors cause 35% of wrong answers in mixed DI sections

Practice MCQs

Mixed DI (2-graph sets) — Practice Questions

16graded MCQs · easy to hard · full solution & trap analysis

All MCQs →

📊Data / Passage

Directions

Study the following tables and answer the questions. Table 1: Monthly Sales (in lakhs ₹) of Five Product Categories across Q1 2024

Month	Electronics	Clothing	Home & Garden	Sports	Books
January	45	32	28	18	12
February	50	35	30	20	14
March	55	38	32	22	16

Table 2: Quarterly Performance Metrics

Metric	Value
Total Q1 Sales (all categories)	522
Average Monthly Sales per Category	26
Best Performing Category	Electronics
Worst Performing Category	Books
Growth Rate (Jan to Mar, Electronics)	22.2%

Practice 1easy

What is the total sales of the Clothing category for Q1 2024?

Practice 2easy

What is the ratio of February Electronics sales to February Books sales?

Practice 3easy

What is the average monthly sales of the Home & Garden category?

Practice 4easy

Which category showed the highest absolute growth (in lakhs) from January to March?

📊Data / Passage

Directions

Study the following tables and answer the questions. Table 1: Quarterly Sales (in ₹ Lakhs) of Five Product Categories

Product	Q1	Q2	Q3	Q4
Electronics	120	150	180	210
Clothing	80	100	120	140
Home & Garden	60	75	90	105
Sports	40	50	60	70
Books	20	25	30	35

Table 2: Year-on-Year Growth Rate (%) by Product Category

Product	2022-2023	2023-2024
Electronics	15	20
Clothing	12	18
Home & Garden	10	16
Sports	8	14
Books	5	10

Practice 5medium

Which product category showed the highest average quarterly sales across all four quarters?

Practice 6medium

By what percentage did Electronics sales increase from Q1 to Q4?

📊Data / Passage

Directions

Study the following two tables and answer the questions. Table 1: Quarterly Sales (in ₹ Lakhs) of Five Product Categories

Product Category	Q1	Q2	Q3	Q4
Electronics	240	280	320	360
Clothing	180	195	210	225
Home & Garden	120	140	160	180
Sports	100	110	121	133
Books	60	75	90	105

Table 2: Year-on-Year Growth Rate (%) for Each Category

Product Category	Growth Rate (%)
Electronics	15
Clothing	12.5
Home & Garden	16.67
Sports	10
Books	25

Practice 7medium

Which product category has the highest growth rate, and what is the difference between its growth rate and the lowest growth rate?

Practice 8medium

What is the ratio of Clothing sales in Q2 to Sports sales in Q4?

Practice 9medium

If Home & Garden sales in Q1 of the previous year were ₹102.86 lakhs, what was the growth rate from previous year Q1 to current year Q1? (Round to nearest whole number)

📊Data / Passage

Directions

Study the following two tables carefully and answer the questions. TABLE 1: Quarterly Sales (in ₹ Crores) of Five Companies (2023)

Company	Q1	Q2	Q3	Q4
Alpha	120	135	162	180
Beta	95	114	133	152
Gamma	140	147	154	168
Delta	110	121	145	174
Epsilon	85	102	119	136

TABLE 2: Profit Margin (%) for Each Company Across Quarters

Company	Q1	Q2	Q3	Q4
Alpha	18	20	22	24
Beta	16	18	20	22
Gamma	22	22	21	20
Delta	14	16	18	20
Epsilon	12	14	16	18

Practice 10hard

What is the average profit margin of Gamma across all four quarters, and how much does it differ from the average profit margin of Delta across all four quarters?

Practice 11hard

In Q4, what is the ratio of profit (in ₹ crores) earned by Beta to the profit earned by Delta? (Profit = Sales × Profit Margin / 100)

📊Data / Passage

Directions

Study the following two tables carefully and answer the questions that follow. Table 1: Production (in thousand units) and Defect Rate (%) across 5 Manufacturing Plants (Jan-Mar 2024)

Plant	January Production	January Defect %	February Production	February Defect %	March Production	March Defect %
A	450	4.0	480	3.5	510	3.0
B	380	5.5	400	5.0	420	4.5
C	520	3.0	540	2.8	560	2.5
D	290	6.5	310	6.0	330	5.5
E	360	4.5	375	4.0	390	3.5

Table 2: Revenue (in ₹ Crores) and Cost per Unit (in ₹) for the same plants (Jan-Mar 2024)

Plant	January Revenue	January Cost/Unit	February Revenue	February Cost/Unit	March Revenue	March Cost/Unit
A	135.0	300	144.0	300	153.0	300
B	95.2	250	100.0	250	105.0	250
C	182.0	360	189.0	360	196.0	360
D	58.0	200	62.0	200	66.0	200
E	86.4	240	90.0	240	93.6	240

Note: Revenue figures are in ₹ Crores. Production figures are in thousand units. Defect Rate is the percentage of units produced that are defective.

Practice 12hard

What is the average revenue per thousand units produced for Plant C across all three months?

Practice 13hard

If the total profit earned by all five companies in Q2 is ₹X crores, what is the value of X? (Profit = Sales × Profit Margin / 100)

Practice 14hard

What is the total number of defective units (in thousands) produced across all five plants in February?

Practice 15hard

Which plant showed the maximum percentage improvement in defect rate from January to March, and what is that improvement?

Practice 16hard

What is the difference between the total sales of Alpha in 2023 and the total sales of Epsilon in 2023?

60-Second Revision — Mixed DI (2-graph sets)

Remember: Read both graph titles and establish the connection between datasets
Formula: Percentage to absolute = (Percentage × Base value)/100
Trap: Watch for different units between graphs - convert immediately
Strategy: Scan both graphs for 30 seconds before reading any question
Check: Verify which graph contains the data needed for each calculation step
Tip: Use elimination method when calculations become too complex
Time: Maximum 90 seconds per question, move on if stuck beyond this limit

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Plant	January Production	January Defect %	February Production	February Defect %	March Production	March Defect %
A	450	4.0	480	3.5	510	3.0
B	380	5.5	400	5.0	420	4.5
C	520	3.0	540	2.8	560	2.5
D	290	6.5	310	6.0	330	5.5
E	360	4.5	375	4.0	390	3.5

Plant	January Production	January Defect %	February Production	February Defect %	March Production	March Defect %
A	450	4.0	480	3.5	510	3.0
B	380	5.5	400	5.0	420	4.5
C	520	3.0	540	2.8	560	2.5
D	290	6.5	310	6.0	330	5.5
E	360	4.5	375	4.0	390	3.5

Plant	January Production	January Defect %	February Production	February Defect %	March Production	March Defect %
A	450	4.0	480	3.5	510	3.0
B	380	5.5	400	5.0	420	4.5
C	520	3.0	540	2.8	560	2.5
D	290	6.5	310	6.0	330	5.5
E	360	4.5	375	4.0	390	3.5