Guide to Prepare for Data Interpretation Section in GRE 2022
Quantitative Reasoning is one of the three sections of the GRE. Geometry, algebra, and fundamental arithmetic questions are included in this part. It also presents applicants with data interpretation questions. In order to answer these questions, GRE candidates must study a set of data. Out of the total 40 questions, you may expect to see at least 6 data analysis questions. If you are planning to do MBA from UK then give this exam. One of the biggest advantages of the GRE data analysis questions is that you don’t need any prior knowledge. All you have to do is extract data from the provided visual and apply it to the following questions.
Data Interpretation Section in GRE
Data interpretation tasks on the GRE include a variety of graphs, charts, diagrams, and tables. Each visual representation of data is accompanied by a number of questions. Following that, the questions delve into the many forms of data revealed in the illustration. MBA in Canada can be done by giving GRE. These math questions assess a student’s ability to comprehend and interpret data presented in a graph or chart. Data Interpretation set question types are based on 6 different ways of representing data:
Frequency Distribution Tables
Frequency Distribution Tables are typically two-column tables in which the first column lists the categories or numerical values of data and the second column lists the related frequencies. The relative frequency distribution table is a variation of this, with the same structure but relative frequencies instead of actual frequencies recorded for each data category. Percentages are used to do this. You can also check out MBA colleges in Singapore for MBA.
Bar Graphs Section in GRE
Bar charts can be used to visualize data from frequency distribution tables. Each of the data categories or numerical values is represented by a rectangular bar, with the height of each bar proportionate to the associated frequency or relative frequency in these graphs. The bars can be drawn horizontally or vertically. Bar graphs make it easier to compare multiple categories than tables. Stacking bar graphs are also used on occasion. In a stacked (or segmented) bar graph, each rectangular bar is divided, or segmented, into smaller rectangles that illustrate how the variable is “divided” into other related variables.
Pie charts are used to display data that has been divided into a few categories. The information is shown in a circle with the area of each circle proportionate to the percentage of the total that the category represents. A sector is a name given to each section of the circle. The ratio of each sector’s area to the pie chart’s overall area is equal to the measure of its central angle divided by 360 degrees. The primary feature of the pie chart is that the data or information shown in it is very easy to understand because it is straightforward.
A scatterplot is a graph that depicts the relationship between numerical variables whose values are visible in a single population of individual objects. The value of one variable appears on the horizontal axis for each object in a scatterplot. And the equivalent value of the other variable for the same object shows on the vertical axis. Each object’s two values constitute an ordered pair, which is represented in the coordinate system by a point.
Line Graphs Interpretation Section in GRE
Another type of graph that can be used to depict the relationship between two numerical variables is a line graph. A line graph employs a coordinate plane, with each data point representing a pair of observed values for two numerical variables.
Tips to follow for DI Section in GRE
- Read the question introduction first: Typically, Data interpretation questions on the GRE come in groups. When this happens, a “question stem,” or a textual introduction to the facts on which linked questions are asked, is frequently used. Before looking at the data table/graph, it’s a good idea to read the question stem to get the correct context. This method helps you save time on the related questions because you will know exactly what to look for when evaluating the graph/table. Without this, you’d end up reading the graph/table, then reading the questions, and then again reading the graph to fetch the right data to solve the question.
- Use estimation effectively: In the GRE quant section, A student has around 1.5 minutes to answer a question. This is not much, so you will need to keep track of your time. Using estimation to solve questions is one ability that aids in reaching the appropriate answer quickly – especially in data interpretation inquiries. This is not something that comes naturally — it takes time and effort to master. However, if you get the hang of it, it significantly simplifies things.
Write down what is being asked as you read the question stem. Then, when you begin to evaluate the data in the graph/table. Make a list of relevant values, such as data points at extremes, units, and so on. While this may extend the time it takes to answer the question. But it will aid you in making sense of the facts. As a result, your chances of getting the right response increase.
- The easiest method to prepare for data interpretation questions in the Quantitative Reasoning portion is to complete a series of practice math problems. Students can sample the types of data interpretation questions. And they will see on the real test by taking a practice test. Students can also see where they need to improve by using the results of a practice test.
- When graphical data presentations with scales are displayed, such as bar graphs and line graphs, you should read, estimate, or compare values by sight or measurement, according to the scales. Completing a set of practice math problems is the best way to prep for the data interpretation questions in the Quantitative Reasoning section. A practice test gives students the opportunity to sample the types of data interpretation questions that they will encounter on the actual test. Also, the results of a practice test allow students to see where they need to improve.
- When graphical data presentations, such as bar graphs and line graphs, are shown with scales, you should read, and estimate. Compare quantities by sight or by measurement, according to the corresponding scales.