# GRE DATA INTERPRETATION QUESTIONS WITH SOLUTIONS PDF

Thank you for picking up one of the Manhattan GRE Strategy Guides—we hope that it 8. DATA INTERPRETATION. In Action Problems. Solutions. . Comparisons, and Data Interpretation questions (which are really a subset of. The GRE® Math Review consists of 4 chapters: Arithmetic,. Algebra Downloadable versions of large print (PDF) and accessible Data Interpretation Examples. Data Analysis Exercises. Answers to Data Analysis Exercises. Try some GRE data interpretation practice so that you're not thrown off on test day ! Despite appearances, the GRE Data Interpretation questions are usually relatively . An exact answer with no calculator, all mental math.

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Complete guide to GRE Math DATA INTERPRETATION Questions. section with 30 questions in each section and you will have 30 minutes to answer each of . answer from the list of choices. Three of the 20 questions in each quantitative section of the GRE are data interpretation questions. They are three consecutive . A quick guide to solving gre data interpretation questions, with Before you understand how to answer the data interpretation questions, you.

There is no rule that states that you need to attempt all questions in a set, so it is a perfectly valid strategy to attempt selected questions across your DI section, without perhaps completely attempting even a single set.

These contain several graph and chart type questions, most of which are near CAT level. You can utilize these questions in the initial source of preparation to practice reading data off charts and tables, and then gradually move on to tougher questions from CAT preparation material.

## The Complete Guide to GRE Data Interpretation

GRE software comes with the added advantage of an inbuilt timer that keeps you on your toes. Data Sufficiency problems usually take the form of a logical puzzle, and are in the form of a question followed by two statements. You need to answer whether you can solve the problem using the statements individually, or using both, or whether you cannot solve the problem using the information provided.

The key to answering such problems is to pretend like one statement does not exist, try solving the problem, and then pretend like the other statement does not exist and try solving the problem again.

These problems are generally tricky, and I would recommend lots of practice and perhaps solving them near the end of your section, after you have solved the other problems. Although recent CATs have had question sets, be prepared for question sets as well.

DS questions have never appeared in sets. Both of these things can be achieved with the help of practice.

Overview of the question types of the DI: Observation based questions: These questions require simple and careful observation of the data.

Interpretation and Calculation IC based questions: These questions require basic analysis and calculation with data. Explorative questions: These questions will pose a hypothetical scenario, and may expect you to use, observation, interpretation and calculation.

Pre-requisites for the preparation of DI section Improve your calculations Improving your calculations is the first step to improve your Data Interpretation. You need to work on both accuracy and speed to improve this section.

Speed can be increased by practicing regularly. Now, double both dollar amounts: An exact answer with no calculator, all mental math. Take half of that: We can eliminate C and anything less than that, which leaves only one answer. This is tricky.

How many more programmers than marketers? Terrene has about 57 marketers; Pindar, about 35; Jericho, about 66; Endor, about 45; and Diomedes, about The average is. Fermion has only 18 marketers.

## GRE Data Interpretation Practice Questions

Jericho , one of the oldest cities in the worlds, was a mentioned in the both the Hebrew Bible and the New Testament: Diomedes was a hero in Greek mythology who was said to have fought in the Trojan War. A fermion , named for physicist Enrico Fermi — is a subatomic particle with half-integer spin: We ignore all the points that are at 25 hours studied and more: The only ones we care about are the ones less than hours.

Of these, the highest is the one furthest to the right, at a height of This person studied less than 25 hours and got a GRE Q score of Subtract 30 from each hour amount for simplicity. Add back 30 now: The closest answer choice is We have to look at all the dots to the right of the hour line: Dots above the line are students who exceeded the prediction. Dots below the line are students who fell short of the prediction. The gray dots on the left are out, because those are times less than 20 hours.

Of the remaining dots, the 7 green dots are above the line and 3 red dots are below the line. Breakdown of Quant Concepts by Frequency. This post was originally published in April, , and has been updated for freshness, accuracy, and comprehensiveness.

In 8th question the answer u provided is not understandable…In solution u have given the green is larger than two purples,,what does it mean?? In order to answer this question, we have to use the information in the graph to estimate how big each bar is.

We compared the length of the purple bar to that of the green bar in order to estimate the green space in the bar. Alternatively, we could have estimated the number of marketing employees around 66 and the number of total employees around 91 and found an estimate of the answer: This also leads us to the correct answer, but it requires some calculation and is not as fast.

There is always a certain amount of ambiguity in data interpretation questions, which makes a lot of students nervous! You will have to be comfortable with a little bit of ambiguity in data interpretation questions. You will have caselets on GRE Quant.

I solved it like: However, you have to be careful when calculating the total revenue for the 2nd quarter. Using this value for total revenue, we see that in the second quarter, bakery would account for.

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How is revenue the same as sales? Am i missing something? Does it mean the same in some sense i was under the impression it had some difference. Good question! Revenue refers to the money earned by a business while sales refers specifically to the money earned selling products in services.

## What is Data Interpretation?

In other words, sales is a source of revenue for companies. In the context of these problems, the only source of revenue mentioned is that earned via sales. So, we can say that in this case the revenue is equal to the sales. We would be happy to offer some clarification, but first we need to know some more details about what is confusing for you.

Can you elaborate on this question a little more? First question speaks about sales, while the pie chart is in terms of revenue.

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Can you please explain how was the answer calculated?? Q 2 during practicing bar graphs counted 17 my eyes but for ans options again counted 18 this time it matched…..

Dear Sanjoy, Think about it: If the end of the bar is closer to 20, then the value has to be closer to 18 than to Does this make sense? There are more practice questions in the product. If you find these helpful, sign up for Magoosh: I am very fine with the first 2 questions. But coming to 3rd question…. Dear Nani: Yes, ETS certainly can ask questions like this.

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## GRE Data Interpretation

Name required. Email will not be published required. Share Magoosh Test Prep Expert August 28, at Magoosh Test Prep Expert March 10, at 7: If you have already studied for the GRE, and did well in Data Interpretation, then let us know if you have any tips that worked out really well for you. The closest answer choice is And to do that, you should understand what units are used in the given data.

This GRE Data Interpretation set will present data, information, in some graphical form, and it typically has three questions about the same data.

Be the first to like this. Jake June 11, at Remember that Data Interpretation questions on the GRE also include several other topics in math, such as percentages, ratios, fractions, and basic mathematical operations.

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