Quantitative section of gmat

The GMAT Quantitative part is meant to assess your understanding of basic math topics such as arithmetic and number properties, algebra, and geometry, as well as your analytical skills. There are two sorts of questions in this section:

An inquiry and two data assertions make up a Data Sufficiency question. Your job is to figure out if the statements give enough information to answer the question. This question type necessitates immediately identifying what knowledge you’ll need to solve the problem and fast eliminating response options.

A classic standardized exam question type is problem-solving. You’ll be asked a question and given five options for answers. To test your critical thinking skills, problem-solving tasks involve high school–level arithmetic up to algebra and plane geometry.

There are 31 total questions, containing 14–15 Data Sufficiency questions & 16–19 Problem-Solving questions. The time for the same was 62 mins with a score range of 0-60.

Focus: Always read the question and the options carefully before answering. Avoid at all costs the temptation of skipping through the questions. You don’t want to take the chance of making a mistake.

Shortcuts: Because this portion requires a lot of calculations, knowing the shortcuts for common calculations and using Vedic Maths methods will come in handy.

Formulas: The areas and perimeters of various forms, rate of work and speed calculations, and mixture equations are all key formulae to remember for this test. Use flashcards to help you remember these crucial formulas.

Don’t squander your time trying to memorize conversion tables: If a question requires you to convert between two units, such as pounds and kilograms, the question will offer you the conversion formula.

Elimination Method: If you’re stumped on a question, use the process of elimination to eliminate implausible options. Begin by removing values that are either too large or too tiny. Even if you can only eliminate two or three options, your task will be much easier.

Reverse engineering methodology: When you are unsure about the solution to a numerical problem, you can use reverse engineering methodology to solve it. This approach works by moving backwards from the offered answer selections into the questions.