What is the marks vs percentile analysis of CAT 2019?
The Common Admission Test (CAT 2019) is a significant factor for thousands of aspirants who wish to pursue an MBA in India. This article delves into the marks vs percentile analysis of CAT 2019, providing vital insights into candidate performance, score distribution, and their implications for admission processes.
CAT 2019 Analysis: A Comprehensive Overview
The CAT 2019 consisted of a total of 300 marks across three sections - Verbal Ability and Reading Comprehension (VARC), Data Interpretation and Logical Reasoning (DILR), and Quantitative Ability (QA). Each section holds equal weightage and contributes equally to the overall score.
Overall Scoring: Understanding the Marking Scheme
Scoring in CAT 2019 was a meticulous process designed to accurately gauge the proficiency of each candidate in various aspects of management-related knowledge. Candidates had the opportunity to secure a total of 300 marks, which denoted their overall performance in the exam.
Percentile Distribution: What Does it Mean?
A percentile score indicates the percentage of candidates who scored below a particular score. This analysis helps in understanding how a candidate's performance compares to others who appeared for the same exam. The following table outlines the approximate percentile distribution based on the score ranges:
Score RangeApproximate Percentile 100 - 99.9999.99 99 - 10099.5 - 99.8 95 - 9895 - 97.5 90 - 9490 - 94 85 - 8985 - 89 80 - 8480 - 84 75 - 7975 - 79 70 - 7470 - 74 65 - 6965 - 69 60 - 6460 - 64 Below 60Below 60Key Insights: Understanding Candidate Performance
The analysis of CAT 2019 marks vs percentiles reveals several key insights into candidate performance:
Top Performers: Candidates who scored above 99.5 percentile typically had scores between 95 and 100 marks, indicating exceptional performance. This range suggests that they performed exceptionally well in all sections of the exam. Average Performers: A score between 85 and 90 marks usually corresponds to a percentile between 85 and 90, indicating a good performance but not necessarily in the top tier. This range reflects a balanced performance across all sections, but not a standout achievement. Low Performers: Scores below 60 marks generally place candidates below the 60 percentile, indicating that a significant portion of candidates scored higher in the exam. This range suggests that the exam was challenging, with many candidates struggling to achieve satisfactory results.Sectional Scores: A Detailed Breakdown
Each section of the CAT 2019 also has its own scoring and percentile distribution. It is important for candidates to achieve minimum sectional cutoffs to qualify for further processes in B-schools. The detailed breakdown of sectional scores is as follows:
VARC: Verbal Ability and Reading Comprehension - This section tests the candidate's proficiency in language and comprehension skills. High scores in VARC are indicative of strong language skills and understanding. DILR: Data Interpretation and Logical Reasoning - This section evaluates the candidate's ability to interpret data and solve logical problems. High scores in DILR are indicative of strong analytical and logical reasoning skills. QA: Quantitative Ability - This section tests the candidate's mathematical and problem-solving skills. High scores in QA are indicative of strong quantitative aptitude.Conclusion: A Competitive Landscape
The CAT 2019 performance analysis shows a highly competitive landscape where high scores are needed to achieve top percentiles. Candidates aiming to secure a place in the 90 percentile range generally need to target scores significantly above the average. This is particularly important for those who wish to secure admission to top B-schools.
For specific details about the exact score distributions and percentiles, it is advisable to refer to the official CAT 2019 results or analysis reports released by the Indian Institutes of Management (IIMs) or coaching institutes specializing in CAT preparation.
Keywords: CAT 2019, percentiles, marks analysis