
This is a statistical analysis of the math questions appearing in the GMAT Official Guide 2018. We will see which types (and even subtypes!) of questions are more common on the test, and which Question Types tend to be harder. As you know, since this test is adaptive, the better you do, the harder it becomes. This knowledge is therefore crucial for anyone seeking to gain a high score on the test.
The analysis covers 404 questions: Problem Solving questions 1-230, which appear in Section 5.3 of the book, and Data Sufficiency questions 231-404 which appear in Section 6.3.
The analysis is based on NeatPrep's table and graphs which you can access and download for free from Google.
It's recommended that you visit and bookmark this URL. Hopefully you will use it repeatedly over the next couple of months. The data and graphs are LIVE and will be updated through June 2018. Even though they are hosted on Google servers, you do not need a Google account in order to access them.
Explore the popularity matrix for GMAT math, use the takeaways to target weak areas, and quickly locate prime numbers and combinations questions by sorting and filtering question types.
Use the table to find questions with similar elements, such as absolute value, and start solving by searching their codes (for example, 025). Leave a comment if data is inaccurate.
Identify from the bubble chart that algebra is the most popular question type. Focus on statistics, powers and roots, overlaps, combinations and probability, and integers for the harder questions.
Identify the most popular GMAT math question types and the essential solving techniques. Focus on algebra, data sufficiency takeaways, percents, ugly numbers, and 2D geometry via the popularity matrix.
Analyze the question types chart, which shows the relative popularity of all 11 question types using the same data as the bubble chart but without percentiles.
Explore the most popular and hardest GMAT problem solving questions, from algebra and ugly numbers to triple overlap and other subtypes, with percentile rankings and takeaways.
Explore the most popular and hardest data sufficiency questions, showing how determining whether a statement yields two conclusions drives about half of DS items, with statistics, geometry, and algebra subtypes.
Explore the top subtypes charts that reveal the most common GMAT math question subtypes, with key takeaways for equations, inequalities, fractions, geometry, and data sufficiency techniques.
Conclude by acknowledging the statistical analysis and encouraging continued preparation. Invite questions at info@NeatPrep.com for further support.
Demonstrates how to determine the least n such that n! is divisible by 990 by using co-prime factors, showing that n must reach 11.
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This is a statistical analysis of the math questions appearing in the GMAT Official Guide 2018. We will see which types (and even subtypes!) of questions are more common on the test, and which Question Types tend to be harder. As you know, since this test is adaptive, the better you do, the harder it becomes. This knowledge is therefore crucial for anyone seeking to gain a high score on the test.
The analysis covers 404 questions: Problem Solving questions 1-230, which appear in Section 5.3 of the book, and Data Sufficiency questions 231-404 which appear in Section 6.3.
The analysis is based on NeatPrep's table and graphs which you can access and download for free from Google. It's recommended that you visit and bookmark this URL. Hopefully you will use it repeatedly over the next couple of months. The data and graphs are LIVE and will be updated through June 2018. Even though they are hosted on Google servers, you do not need a Google account in order to access them.
Good luck!
- NeatPrep