Lecture

Grockit GMAT TV Lesson 2, Part 2 (Quantitative Data Sufficiency)

This module continues to build on the principles of Quantitative Data Sufficiency, diving deeper into problem-solving techniques and analytical thinking. Key aspects of this lesson include:

  • Examining complex data sets and extracting relevant information.
  • Practicing time management strategies for the GMAT.
  • Utilizing logical reasoning to ascertain the adequacy of given data.

Through interactive examples, students will enhance their critical thinking abilities needed for success in the quantitative section of the GMAT.


Course Lectures
  • This module focuses on Quantitative Data Sufficiency, a critical area of the GMAT. Students will learn to analyze data and understand the relationships between different variables. The content emphasizes:

    • Interpreting data in various formats.
    • Applying mathematical concepts to solve problems efficiently.
    • Developing skills to determine when sufficient information is present to answer a question.

    Engaging examples and practice questions will enhance comprehension and application, ensuring students feel confident in their ability to tackle Data Sufficiency questions on the GMAT.

  • This module continues to build on the principles of Quantitative Data Sufficiency, diving deeper into problem-solving techniques and analytical thinking. Key aspects of this lesson include:

    • Examining complex data sets and extracting relevant information.
    • Practicing time management strategies for the GMAT.
    • Utilizing logical reasoning to ascertain the adequacy of given data.

    Through interactive examples, students will enhance their critical thinking abilities needed for success in the quantitative section of the GMAT.

  • This module enhances your understanding of Quantitative Data Sufficiency by introducing advanced techniques and common pitfalls. It covers:

    • Identifying misleading information in data sets.
    • Utilizing process of elimination in answering questions.
    • Strategies for managing challenging questions under time constraints.

    With a focus on practice and application, students will engage with sample questions that mimic the GMAT format to build confidence and proficiency.

  • This module further develops students' abilities in Quantitative Data Sufficiency by emphasizing the importance of practice. The session highlights:

    • Real GMAT question simulations to build familiarity.
    • Feedback on common errors to improve understanding.
    • Discussion of effective study habits for continued improvement.

    Participants will engage in practice exercises that simulate the actual exam environment, fostering greater readiness for test day.

  • This module wraps up the series on Quantitative Data Sufficiency by consolidating learning and preparing students for the GMAT. Key highlights include:

    • Review of key concepts and strategies covered in previous modules.
    • Final practice exercises to test retention and application skills.
    • Tips for approaching the GMAT with a confident mindset.

    Students will leave with a comprehensive understanding of the techniques learned, ready to tackle the GMAT challenges ahead.