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Three Effective Strategies for Drawing Inferences in Difficult TPA Questions

Three Effective Strategies for Drawing Inferences in Difficult TPA Questions
A 4 min read

Introduction

Many a times, while solving Difficult TPA questions, you reach a point where you feel that you do not sufficient information to carry forward or you feel that solving the question will take too long.  Whenever you feel this way, always know that there is an inference waiting to be drawn.

Let’s see some examples of inferences that we can draw using Number Properties.

TPA_032

Question

This is an official question (not from any of the mocks).  Try your hand at it!

Inference

Now let’s observe how we solved it real quick by drawing inference:

Here is the output of our translation of the dataset:

  • Earlier = Sales: Tech = 60:100 = 3:5
  • Now = Sales is 12 and Tech is 15

And here is the crucial inference that needs to be drawn at this point of the solution:

  • # sales earlier = a multiple of 3 less than 12

And

  •  # tech earlier = a multiple of 5 less than 15

And from this point onwards, we can work out the possible combinations from the choices to arrive at the final answer. 

You may watch the solution from 4:30 mark.

Summary

We infered that the quantities were multiples of specific numbers using the information about the ratio information given in the dataset.  And this paved way further into the solution. This is one of the examples of Difficult TPA Questions. Now, let’s move further.

TPA_056

Question

Inference

Upon simplifying, we arrive at this equation:

To solve this question, we use number properties, specifically related to product of two numbers.  Observe how we have take common and arrive at product of an even and an odd number.

And then by comparing the two sides, we infer as shown and find the value of M as 3.

And likewise, we infer and arrive at the value of N as 6.

You may watch the detailed video solution here at 7:36 mark or to watch an alternate solution using the choices, watch from 5:30 mark. 

Summary

In this question, with a single equation with two variables, we converted expression of the sum into product of two numbers and we drew inferences from that product and arrived at the exact values of the two variables. This is another example of Difficult TPA Questions. Let’s see the final one.

TPA_069

Question

Inference

Per the scenario explained in this dataset, processes are repeating at regular intervals based on frequencies specific to each process as shown below:

Whenever you see such repetition, it should automatically infer that LCM is the concept at play.  So, to solve this question, this is the crucial inference that you needed to draw.  Watch this video at 7:24 to see why this is the case and get a complete clarity on this inference. 

Summary

In this question, once we understood the scenario about repetition of tasks at fixed frequencies, we could infer that this question will require concept of LCM. Hence, we three strategues to solve Difficult TPA Questions.

Takeaway

While solving TPA questions, when you feel that you are at a point where you cannot go any further, trust your knowledge and identify scope of drawing such inferences.  Think of these inferences as the bridge between the point where you get stuck to the next step in your solution. 

Inferences = Bridges!

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About The Author

Payal Tandon, co-founder and COO of e-GMAT, has revolutionized GMAT preparation through her innovative, process-driven teaching methodology that has helped over 50,000 students achieve their dream scores since 2010. From the very beginning, Payal laid the foundation of e-GMAT's success by instilling a process-driven approach to GMAT preparation, becoming a Six Sigma aficionado who believes in "doing things right the first time.  Her quantifiable impact speaks for itself: on GMAT Club—the largest online GMAT forum—she is ranked as the #1 rated GMAT expert globally, with e-GMAT maintaining over 1,800 reviews and Payal sustaining a 4.8/5 instructor rating as of 2024-25.  Payal holds a Bachelor's degree in Chemical Engineering from the prestigious BITS Pilani and brings analytical rigor from her engineering career at Honeywell, where her experience managing complex projects—including multi-million dollar NASA programs—instilled the systematic precision she now applies to GMAT instruction.  Her GMAT expertise spans across all sections of the test, with particular specialization in verbal sections where she pioneered her signature "pre-thinking strategy" for Critical Reasoning, while also introducing a novel framework of six core "process skills" for Quantitative reasoning and innovative approaches for the new Data Insights section that help students systematically tackle problems rather than relying on brute-force repetition.  Passionate about education, Payal left her lucrative engineering career to pursue her vision of making quality GMAT preparation accessible to all, believing that students should "give 200% or don't take on the task at all"—a philosophy that permeates every aspect of her teaching.  Her success metrics speak volumes: e-GMAT delivers more 700+ scores than any other prep provider, with students consistently crediting her strategies for dramatic score improvements. She has authored over 2,000 GMAT practice questions, conducted 1,000+ hours of webinars, and regularly contributes strategic articles to the e-GMAT blog.