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D'Amore McKim School of Business Northeastern University

MBA at Northeastern University

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MPS in Applied AI at Northeastern University

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BS Information Systems & Technology at NYU USA

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Drexel University

Master of Business Administration

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DAmore McKim School of Business Northeastern University

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Clark University

MS Computer Science at Clark University

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DAmore McKim School of Business Northeastern University

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Yeshiva University

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University of Detroit Mercy

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DAmore McKim School of Business Northeastern University

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Master of Business Administration at Drexel University

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Utica University

Master of Business Administration at Utica University

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City University of Seattle

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Clarkson University

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Utica University

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University of Detroit Mercy

MHSA & MBA Dual Degree at University of Detroit

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University of West Florida

MS IT at UWF, Florida

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Central Washington University

MS IT Management at Central Washington University

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Clark University

MS PM at Clark University

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DePaul University

MS Supply Chain Management at DePaul University

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Touro University

MS Technology Leadership & PM, Touro University

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MIT Open Learning

Universal AI Program by MIT

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Yeshiva University

MS in Digital Marketing and Media at Yeshiva University, USA

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UMass Dartmouth

MS in Data Science at UMass Dartmouth

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University of West Florida

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University of Nevada, Las Vegas

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Touro University

MS DA at Touro University USA

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Troy University

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City University of Seattle

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University of Nevada, Las Vegas

MS in Management Information Systems at UNLV

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Northern Arizona University

BS Software Engineering at NAU, USA

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WHU - Otto Beisheim School of Management

Master of Science in Management

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WHU - Otto Beisheim School of Management

Master of Science in Finance at WHU

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WHU - Otto Beisheim School of Management

Master of Science in Entrepreneurship

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WHU - Otto Beisheim School of Management

Master of Science in Business Analytics

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International School of Management

MSc in Business Intelligence & Data Science

  • CountryGermany
  • Online6 months
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International School of Management

BSc Applied Data Science & Business Analytics, ISM

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International School of Management

BS in International Management

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Munich Business School

MBA General Management

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Munich Business School

Master in Finance (M.A.)

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SRH University of Applied Sciences

MBA 90 ECTS at SRH Germany

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SRH University of Applied Sciences

MA International Business & Leadership at SRH Germany

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International School of Management

MSc International Logistics & Supply Chain Management

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International School of Management

MSc International Management, ISM Germany.

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University of Applied Management

MS Computer Science 90 ECTS at UAM Germany

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International School of Management

Master of Business Administration 90 ECTS

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International School of Management

M.A. Strategic Marketing Management at ISM Germany

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International School of Management

MSc Finance

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Code University of Applied Sciences

B.Sc. Software Engineering

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International School of Management

MSc Psychology & Management at ISM

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Touro University, Germany

MS in Data Analytics

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Code University of Applied Sciences

B.A. Business Management & Entrepreneurship

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University of Applied Management

Executive MBA 60 ECTS at UAM Germany

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University of Applied Management

MBA 90 ECTS at UAM Germany

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SRH University of Applied Sciences

MA International Hospitality Management at SRH Germany

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University of Applied Management

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University of Applied Management

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International School of Management

MBA 90 ECTS at ISM Germany

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International School of Management

MSc Business Intelligence & Data Science at ISM Germany

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International School of Management

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International School of Management

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International School of Management

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Paris School Of Business

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Excelia Business School

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Excelia Business School

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EMLV Business School

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EMLV Business School

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Excelia Tourism School

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Excelia Business School

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ESDES Business School

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ESDES Business School

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KEDGE Business School

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Aivancity School for Technology, Business and Society

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MSc Data Engineering

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American Business College

Bachelor of Business Administration at ABC Paris

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Paris School Of Business

MSc AI, Business Analytics & Cybersecurity at PSB France

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Northeastern University, London

MSc Applied Artificial Intelligence

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University of Sunderland

Master of Business Administration at Sunderland, UK

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MSc Data Science with Work Placement at Roehampton

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MSc Global Business Management at Roehampton

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London Metropolitan University

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London Metropolitan University

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St Marys University Twickenham London

MSc International Business Management at St. Mary's London

  • CountryUK
  • Online11 months
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GMAT Table Analysis 2024: Concepts, Tips & Strategy

By upGrad Abroad Team

Updated on Apr 10, 2023 | 1.26K+ views

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GMAT chart or table analysis is a key question type in the Integrated Reasoning section of the examination. GMAT table analysis is a part of the four question types in the section, the others being graphics interpretation, two-part analysis, and multi-source Reasoning.

Here are some key details on the Integrated Reasoning section of GMAT:

Time Duration 30 minutes 
Total Questions 12
Score Range 1-8 in intervals of single digits 
What It Tests

Integrated Reasoning seeks to evaluate the abilities of test-takers to evaluate and synthesize information across diverse sources and formats.


 

The obtained score in the Integrated Reasoning section of the GMAT is not included in the cumulative score and is provided as a separate score.

GMAT Table Analysis: Commonly Asked Topics

GMAT table questions come with tables that may be sorted in ascending order only for any column, choosing its title from the drop-down menu provided above. There is a small piece of text that explains the table in question. This has three statements, expressions, or values. Candidates may have to state whether every statement is either true or false or whether they can infer Yes or No from the given information. 

They may also have to calculate the median, mean, or range, along with proportions, ratios, and probabilities, while also identifying correlations between two data sets and comparing data in relation to other information. They may also have to choose statements that provide the best explanations for data in the prompt. These are usually interactive, and candidates have to discover the best ways to sort the same for effectively answering the question. 

There are some concepts tested as part of the table analysis GMAT examination. They include the following kinds of questions:

Common Concepts Question Requirements 
Sort and Infer

Candidates have to sort data in the table while inferring information from what is provided. 


 

Absolute Deviation

This question requires you to find the information on the deviation of data points from the mean of the dataset. 


 

Median, Mean, and Mode The mean is average, while the median is the middle value of all of the given data points. The mode is the value that occurs repeatedly and most of the time in the given data set.
Deviation In this type of question, you need to measure  differences between dataset values and other values, often the mean of the dataset in question. 
Range The question is about finding the differences between the lowest and highest values in a given dataset is tested here. 
Standard Deviation This means measuring the score spread within the dataset while finding how a fragment of the data in question deviates from the mean of the total data.
Correlation This is about understanding two variables in a given dataset and their linear relationship.

Source: mba.com

Source: egmat.com

For this question, the first answer will be Yes, through a logical process of inference. Brazil generates 21% of the total global production of sugar while ranking as the first in the world for production too. Since it produces less than 1/4th or 25% of global sugar, neither Brazil nor any other nation produces more than 1/4th of the same. 

The second answer will be No. This is because while in the case of corn, Brazil produces 8% of the world’s supply and ranks at 2, or produces 5% of global cotton while ranking at 4, there are counterexamples too. For instance, it ranks at number 1 as an exporter of beef (16% production) and chickens (15% production), and in each case, the production volumes are lower than 20%. 

The third answer will also be No. It is ranked number 2 for soybeans, but it produces 27% of the global supply, thereby negating the statement in question. At the same time, it ranks first for beef and chicken, where it produces less than 20% of the world’s supply, i.e., 16% and 15%, respectively. 

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GMAT Table Analysis Questions: Tips & Strategy To Solve 

Solving table analysis questions requires careful preparation and critical thinking abilities. Here are a few tips for aspirants: 

  • Better knowledge of the dataset- Candidates should carefully examine the title of the table, the question, and the headings of the columns. The focus should be on deciphering the relationships between columns to their counterparts. Scanning through table information will also provide a better understanding of the data format, i.e., decimals or integers. In the case of the former, candidates can rely on the approximation to make them into integers. 
  • Evaluate the question- Table analysis datasets usually come with three statement-based question types, requiring Yes or No markings. Partial credits are unavailable, and every response should be correct in order to get suitable credits for the question. The question statement requires careful analysis and understanding. If required, candidates may rephrase a statement in their own words and translate the same mathematically. 
  • Build a strategy- Questions may be perceived in multiple ways. A question may require sorting in two ways, but you can develop a strategy where a table may be sorted with a single column at a time. 

Conclusion 

Table analysis is part of one of the GMAT examination’s most crucial questions of the integrated reasoning section. Aspirants should focus on the question types and concepts that are evaluated while chalking out a study strategy accordingly. Simultaneously, regular practice is a must to ace the test.

Frequently Asked Questions

Is 40 verbal GMAT good?

A Verbal score of 40 or more is considered decent for admission into leading business schools. It puts candidates in the top 10% of test-takers for the GMAT. 

What is the toughest GMAT section?

Quantitative Reasoning is often perceived as the toughest section of the GMAT. It requires problem-solving with the help of analytical Reasoning and logic with the aim of unearthing relevant information. 

Important Resources For PTE/SAT/ACT Exam

PTE Examination Eligibility Criteria

There are no specific PTE exam eligibility criteria set by Pearson VUE – the organizers of the test./

PTE Eligibility

PTE Academic Syllabus

PTE syllabus includes various sections such as Speaking and Writing, Reading, and Listening./

PTE Syllabus

PTE Exam Pattern

The PTE exam pattern is designed to test whether candidates can study at international institutions that have English as the main language for instructions./

PTE Exam Pattern

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