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cat 2018 slot 1 dilr

deltin55 2026-1-3 15:08:26 views 320

  Here’s a structured answer to a potential Data Interpretation and Logical Reasoning (DILR) question from the 2018 CAT Slot 1 that might involve an "Indian Game" theme. Since exact 2018 CAT question papers are not publicly available, this is a generalized example based on common DILR patterns and Indian game contexts (e.g., cricket, kho-kho, etc.).



Question Type Example


  Title: Indian Game Participation Analysis

Data: A table presents the number of players participating in four games (Cricket, kho-kho, badminton, and kabaddi) across two cities (P and Q) over three years (2016–2018). A Venn diagram shows overlaps between games (e.g., players who play multiple games).


  Questions:


In 2018, what percentage of total players in City P played both Cricket and kho-kho?
How many players in City Q played kabaddi but not badminton?
Which game saw the highest year-on-year growth in City Q?



Answer Template

1. Percentage of Players in City P (2018) Playing Both Cricket and kho-kho

Step 1: Identify total players in City P for 2018 from the table.
Total = Cricket (500) + kho-kho (300) + Badminton (200) + Kabaddi (400) – Overlaps.


Step 2: Use the Venn diagram to find overlaps.
Cricket ∩ kho-kho = 150 players.


Step 3: Calculate percentage:
( \frac{150}{Total\ Players\ in\ P} \times 100 ).




  Answer: 15% (assuming total players = 1,000).


2. Players in City Q Playing Kabaddi but Not Badminton

Step 1: From the table, kabaddi players in Q = 600.
Step 2: Subtract those who play both kabaddi and badminton (given as 200).
Step 3: Result = 600 – 200 = 400.


  Answer: 400 players.


3. Fastest-Growing Game in City Q

Step 1: Compare growth rates for 2016–2018:
Cricket: 20% → 25% → 30% (10% increase each year).


Kabaddi: 10% → 15% → 25% (15% jump in 2018).


Step 2: Kabaddi has the highest growth (from 15% to 25%).


  Answer: Kabaddi.



Key Tips for DILR


Skim Data First: Note total values, overlaps, and year-wise changes.
Use Venn Diagrams/Circles: For overlaps between categories.
Calculate Growth Rates: Use ( \frac{New - Old}{Old} \times 100 ).
Check Units: Ensure consistency (e.g., players vs. percentages).


  Let me know if you need further clarification or practice with specific DILR question types! 🎯
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