Unlike the regular data interpretation, GRE Data Interpretation is way different. You need to possess special skills to gain immense success in data analysis. All the quantitative reasoning questions can proficiently measure your data interpretation, problem-solving, arithmetic, algebra, and geometry skills. There are at least 6 questions from data analysis, out of the total 40 in the GRE Quant section.
Meaning that GRE data interpretation holds a good 15% of the entire maths section.
The GRE consists of two quantitative reasoning sections, with 20 questions each. Examinees are required to complete each section within 35 minutes. This portion of GRE Data Analysis questions is scored in one-point increments ranging from 130 to 170. Wish to know more? Keep reading as we guide you through GRE Data Analysis, along with practice questions, and lots of tips!
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Importance of GRE Data Analysis
The GRE Data Analysis significantly determines how you understand and visualise data in a more complex way. In this section of data interpretation, you can score considerably higher to gain admission to the top grad schools. Thus, you can proficiently solve whatever detailed data is provided to you.
- For the GRE data interpretation, you need not have knowledge of academically complex maths concepts. Only with basic skills and an understanding of data interpretation can you master this portion of the GRE.
- Data interpretation in GRE is also an effective technique for delivering clear information without using any words. It also helps you to visualise information within a short time span. Nevertheless, there are few chances for errors to occur as well.
- To score more than 160 in the quantitative section, you must carefully learn and practise GRE data interpretation since you can expect at least 6 to 8 GRE graph questions in each quant section.
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GRE Data Analysis Exam Pattern
Data analysis is a significant part of the four main concepts of GRE quantitative reasoning. It is the ability to visualise or interpret data, making sense of the information. In GRE Data Analysis practice questions, you’ll find statistics, probability and interpreting graphs.
This quantitative section might have multiple choice or numeric entry questions. Each of the GRE tests comprises twenty questions in the maths section. And only three data interpretation questions are asked in each area. So you get six data interpretation questions in your GRE test.
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GRE Data Analysis Syllabus
While you go through the GRE Data Analysis practice questions, you’ll notice it comes in more than a single form. Thus it is ideal for learning GRE data interpretation in GRE formulas thoroughly. It usually presents information in numerous visual formats, including:
- Bar Charts
- Pie Charts
- Histograms
- Line Graphs
- Box Plots
- Best-Fit Lines and Scatter Plots
- Numerical Data Charts
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Types of GRE Data Analysis Questions
The four types of questions are asked in Data Analysis in GRE are:
Column Chart
All data is provided through bar or column charts. And to answer the questions, you need to understand the visual information better.
Pie Chart
Here, information is given through pie charts, and you have to answer questions by deriving data.
Box and Scatter Plots
These are basically used for displaying bivariate data. So it would be best if you had the proficiency in studying them and answering all questions.
Line Chart
This data shows a comparison between the progress of the two quantities. So you need to identify all data points clearly to answer the questions.
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GRE Data Analysis Preparation
Here are some Data Interpretation GRE tips and tricks to master in this curriculum:
- You need to understand the data presentation thoroughly
- You must understand the measurements
- You should make use of graphs and review them
- Keep yourself calm and then answer the questions
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As a part of GRE data interpretation preparation, books recommended are:
- GRE Quantitative Comparisons & Data Interpretation: It is probably the best book for GRE data interpretation by Manhattan Prep. It consists of the most content-driven materials and new practice problems. Practising this book regularly will effectively cover all portions of the possible quantitative questions. It covers all GRE data analysis practice questions that can help in preparing for the test.
- Official GRE Super Power Pack: This official GRE preparation book covers all the essential GRE data analysis questions along with solutions. This three book pack resource includes four actual data interpretation GRE tips and tricks, hundreds of original GRE practise questions of verbal, quant, and writing, along with helpful question-answering suggestions.
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GRE Data Analysis Score
Usually, the quantitative reasoning sections of GRE are scored on a scale of 130 to 170 in one-point increments. So 130 is the lowest possible point while 170 is the highest.
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To obtain admission to the world's top institutions, you must score well in Data Analysis in GRE. And in order to make this possible, you should know vital Data Interpretation GRE tips and tricks. For more details on GRE Data Interpretation, why not get in touch with our skilled Yocket Counsellors today?
