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How To Prepare For Data Interpretation For Cat?
In the previous three CATs, data interpretation and logical reasoning were the make-or-break sections. With the sharp increase in the difficulty of the sets, completing just four sets is enough to push your score above the 99th percentile. In this article, we will look in depth at how to prepare for data interpretation for CAT with the help of teachers for MBA Exam.
CAT online preparation can be extremely beneficial in preparing for the exam in a short period of time. Reading CAT papers will help you understand the pattern of the LR sets that have appeared in recent years. Taking CAT online mock tests at regular intervals will also ensure that you end up practicing difficult DILR sets at CAT level.
Traditional Sets Vs New Changes:
In recent years, the distinction between DI and LR has blurred.
Questions that can be answered solely through calculation are a thing of the past.
In addition, the number of template questions has been drastically reduced (bar graph, line graph, pie chart etc.).
The DI questions require some logical reasoning as well.
Let's look at how to prepare for CAT ...
... data interpretation with these changes in mind.
A quick calculation speed is beneficial but not required for scoring well in this section.
The emphasis must be on developing the necessary thought process to answer the questions.
In your spare time, start solving puzzles like SuDoKus and KaKuros.
Play some puzzles as well. Acquainting yourself with different types of questions will help you avoid being caught off guard when you encounter a different question in the actual exam.
Allocate Sufficient Time:
Every day, set aside at least an hour for DILR.
Aspirants frequently devote an inordinate amount of time to preparing for quants and verbal sections while completely ignoring the DILR section.
The DILR section is nearly as weighted as the other two sections. Set aside some time every day to prepare, even if you are naturally strong in the section.
Learn By Practice:
Do not consider the solution until you have exhausted all other options.
If you get a set wrong, avoid looking at the solution directly. Determine where you went wrong while solving the set. This habit will assist you in remembering the important information that you missed or overlooked while solving the set.
After solving the set on your own, examine the solution to determine whether the method you used was the best one for solving the set.
Keep a notebook where you can jot down the mistakes you make frequently.
Revisit these notes on a regular basis to ensure that you are making fewer mistakes as the exam approaches.
Also, if you come across a set that you think is unique, make a note of it. Repeat such sets on a regular basis to ensure that you develop the ability to answer such questions as well.
Set selection:
In the DILR section, choosing the right sets to answer is critical.
A proper set selection can make a significant difference in one's exam score.
The importance of mock tests in improving your question selection skills cannot be overstated.
Spend the first ten minutes of the section going through all of the sets. Pick up the sets to answer after you've seen all of them.
Also, have a rough idea of the order in which you want to try the sets.
Begin with the simplest set. Avoid starting with a difficult set because failing to get a set right can be detrimental to your morale under time constraints.
Make sure you progress from the easiest to the most difficult set.
Also, make certain that you do not choose a set solely on the basis of its topic. Question setters frequently use this as a bait to entice test takers. A question on a familiar topic does not have to be difficult. Choose the sets to answer with objectivity.
At any cost, do not attempt to solve a set. Knowing when to let go of a set and move on is essential. Set a time limit for each set. Avoid devoting an excessive amount of time to solving a set during the exam.
We hope that this article has helped you understand how to prepare for the CAT data interpretation exam.
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