# Mastering Data Interpretation and Data Sufficiency: Salient Mantra

Data Interpretation and Data Sufficiency are the two most important sections in each and every competitive examination and government entrances especially the banking examinations like SBI Clerk, SBI PO, IBPS Clerk/PO, IBPS RRB and other major banking examinations. Now you need to know about Mastering Data Interpretation and Data Sufficiency.

The most amazing feature of these questions is that all the pre-requisites for solving the problem is already presented in front of the candidate, the only task of the candidate is to make all the requirements fall into correct places and solve the problem.

These questions are no less interesting than solving puzzles. So, let’s understand the various patterns and types of such questions and then we will guide you how you can easily crack these questions.

### Data Interpretation Question Patterns

Generally, in all major banking, competitive and government entrances, the following mentioned types of Data Interpretation questions are asked:

• Data Tables
• Line Charts
• Pie Charts
• Pictographs
• Case-lets
• Venn Diagrams
• Mixed Graphs

Often, to make the questions a little trickier for the candidates, more than two data types are combined to form a question.

Now, let us begin with the steps that how should we go about attempting these questions step wise. We are providing you step wise guidelines so as to make your understanding better:

• Read the complete question thoroughly.
• Fetch out the basic crux of the question.
• Now try to align the question asked with the data provided.
• Observe and try to make out a link between the question and the data provided.
• Try to go through the data and make a map of data understanding in your mind.
• Pen down the important data which will be required to solve the question.
• Be very focused and sharp while attempting the complete question.

Also, for attempting the DI questions with the help of the above-mentioned steps, the candidates must have the basic knowledge of the following topics of quantitative mathematics:

• Percentages
• Averages
• Ratios and Proportion
• Approximations and Simplifications
• Number System and Mathematical Operators
• Profit and Loss Problems

Out of the above topics, Percentages, Averages, Ratios and Approximations are very important to deal with the DI questions.

### Tricks to Prepare the Quantitative Mathematics

The key to crack all the complex problems in quantitative aptitude is through quick and accurate calculation. We are providing you key guidelines for enhancing your problem-solving skills in each of the areas. So, the first important criteria for mastering the DI questions is:

• Quick in Calculation
• Make a habit of adding, subtracting, multiplying and dividing two-digit numbers in your mind daily for 15-20 mins
• The mind exercise will help you in calculating any number problem promptly
• Practice and make a habit of solving big number problems without writing it down in paper and rather solve it in your mind

With the help of the above-mentioned tricks you will be able to solve the Averages, Percentages and Mathematical operator-based questions in no time.

• Brush up the Basic Formulas
• Make a separate notebook and jot down all the important and basic formulas of quantitative aptitude, revise it time to time
• Incorporate short tricks in the problem-solving methodology

• See the Hidden Data
• By regular practice, you will be able to enhance your observation skills
• Try to see the questions differently and fetch out the hidden puzzle in the question
• Observations is the shortcut door for solving the DI questions

Do incorporate all these suggestions, you will definitely be able to approach the Data Interpretation questions more confidently.

The basic idea of approaching the DI question is hidden in four S:

S– See (Read the question thoroughly)

S-Strategize (Follow the steps)

S-Segregate (Fetch out the important data)

S-Solve (Complete the process and find the answer)

### Data Sufficiency: Trick or Treat?

Data sufficiency questions are often misinterpreted by most of the aspirants and students. The meaning of Data Sufficiency questions is just the same as the literal meaning of the word “Sufficiency” i.e.  an adequate amount of something, especially of something essential.

So, these questions are need not to be solved rather the candidate is required to identify which option satisfy the given statement of the question.

### The Basic Mantra:

• Attempt the questions with “Option Narrowing Technique”
• This technique means that try to apply each of the options one by one in the Statements given in the question and check whether it suffices the statement or not
• This will help you in approaching the question with a target, else you will end up solving the question and waste a lot of time
• Please understand that you are not required to solve a question You just need to find out which conditions are sufficient to get the answer.
• Always remember that the basic trick in these questions is the language of the questions, so do take care of even the importance of the punctuations used in the statements as they may infer the meaning altogether
• Understand the pattern of the Data Sufficiency question thoroughly before attempting them
• The data sufficiency options say:
• Statement (1) ALONE is sufficient, but statement (2) alone is not sufficient to answer the question asked.
• Statement (2) ALONE is sufficient, but statement (1) alone is not sufficient to answer the question asked.
• BOTH statements (1) and (2) TOGETHER are sufficient to answer the question asked, but NEITHER statement ALONE is sufficient to answer the question asked.
• EACH statement ALONE is sufficient to answer the question asked.
• Statements (1) and (2) TOGETHER are NOT sufficient to answer the question asked, and additional data specific to the problem are needed
• Carefully observe that each of the option in itself has two meanings, for say the first statement says that Statement 1 alone is sufficient and at the same time it also saying that statement 2 alone is not sufficient. So, if you select this option, you must check both the conditions are valid in the question or not and then proceed
• Same goes with all the remaining statements
• So, the main catch in Data Sufficiency questions is the language of the questions. Understanding can be improved with a lot of practice.

### Areas that are Important for Data Sufficiency Questions:

Since, Data Sufficiency questions can be framed from variety of topics, we are mentioning here the most important ones that you must have a grip on:

• Quick Calculations
• Time, Speed and Distance
• Mensuration
• Probability
• Age Based problems
• Time, Work and Wages
• Permutation and Combinations
• Percentages and Averages

Apply the practice methodologies as discussed in the above DI section and enhance your command over Data Sufficiency questions to.

Moreover, to maneuver the Data Interpretation and Data Sufficiency questions, all you need to do is focused, dedicated and daily practice.

We hope that we have been able to guide you through the two major sections of the competitive examinations. Hope this article was helpful for you.

We wish you all the very best for your future endeavors!

You mentor for competitive exams,

Bhavya Mittal

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