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CAT Introduction to Reasoning based DI - Practice Questions & MCQ

Edited By admin | Updated on Sep 25, 2023 25:47 PM | #CAT

Quick Facts

  • 2 Questions around this concept.

Solve by difficulty

Directions for question:

The bar-graph given below shows the amount (in Rs) to be paid as one way toll charge by the different types of vehicles at the Dankuni Toll Plaza on National Highway 6, on the outskirts of Kolkata :

The pie-chart given below shows the percentage break-up of the different types of vehicles that crossed the same Toll Plaza on the day of Durga Puja on 3rd October, 2022 :

Answer the following questions with the aid of the data given above :


At the end of 3rd October 2022, the Dankuni Toll Plaza staff found that the average collection per vehicle that came from Cars and Light Commercial Vehicle (LCV) was Rs 126. Footage of CCTV cameras installed at the Toll Plaza exits revealed that the Light Commercial Vehicles (LCV) that had passed on that day was 20% more than the number of Cars. On that day, if 1800 Light Commercial Vehicles (LCV) passed through the Toll Plaza, then how many Cars that had passed through Dankuni Toll Plaza on the 3rd October 2022, without paying any toll amount ?

Concepts Covered - 1

Introduction to Reasoning based DI

Reasoning-based Data Interpretation is a specialized form of data analysis used in management and competitive exams. Unlike traditional DI, which primarily involves numeric data, reasoning-based DI focuses on logical and analytical reasoning applied to a set of data or information. This type of DI assesses your ability to draw conclusions, make deductions, and analyze data in a logical manner.

Key Components of Reasoning-Based DI:

  • Data Scenario: Reasoning-based DI typically starts with a data scenario or a set of information, often presented in textual form.
  • Logical Questions: Following the data scenario, a series of logical questions or statements are provided. These questions require you to use deductive reasoning to arrive at the correct answers.

Interpreting Reasoning-Based DI:

  • Reasoning-based DI assesses your ability to analyze information critically, draw inferences, and make logical conclusions based on the given data scenario.

Example Reasoning-Based DI:

Let's consider an example reasoning-based DI scenario to illustrate these concepts:

Data Scenario: A company conducts interviews for four positions: Manager, Analyst, Programmer, and Designer. The following information is provided:

  • The Manager's interview is scheduled on Monday.
  • The Analyst's interview is scheduled on Wednesday.
  • The Programmer's interview is scheduled two days before the Designer's interview.
  • The Analyst's interview is not on Monday or Friday.

Logical Questions:

  • Q.1. On which day is the Programmer's interview scheduled?
  • Q.2. Which position's interview is scheduled on Friday?
  • Q.3. How many days are there between the Designer's and the Manager's interviews?


  • Answer 1) The Programmer's interview is scheduled on Tuesday.
  • Answer 2)The Designer's interview is scheduled on Friday.
  • Answer 3) There are two days between the Designer's and the Manager's interviews (Tuesday and Wednesday).

Conclusion: Reasoning-Based Data Interpretation assesses your ability to analyze data through logical reasoning. It involves understanding the given information, making deductions, and answering questions based on that information. Regular practice with reasoning-based DI questions enhances your logical reasoning skills and improves your ability to draw conclusions from complex scenarios.

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