# GRE Data Analysis

GRE data analysis, also known as "data interpretation," is one of the four main concept areas you'll find in GRE math. It covers things like probability, statistics, and interpreting graphs. Learn strategies so you can speed through these questions on test day.

## Most Popular GRE Data Analysis

Try some GRE data interpretation practice so that you're not thrown off on test day! Each of the GRE's 2 Quant sections will have a data interpretation set.

Fact: within the course of each Quantitative section, you will have, on average, two sets of Data Interpretation questions.  Each set will present data in some form (graph, table, etc.), and you will have two or three consecutive questions on that same data set.   Why does the GRE ask Data Interpretation questions? Absolutely in […]

Helpful Tips for the GRE Data Interpretation Section If I had to count the number of questions/concerns regarding combinations or permutations, I’d have to use some pretty mighty factorials to do so. On the other hand, if I had to count the number of times students have expressed the same misgivings regarding Data Interpretation, I’d […]

GRE expert Chris Lele discusses how many data interpretation questions you'll see on the test.

## Most Recent GRE Data Analysis

The difference between combination and permutation confuses all math students. Combination vs permutation is a tough concept that you must know for the GRE!

When trying to decide whether to use the combination formula, many students have trouble applying the “does order matter” test–deciding if outcomes differ. It’s easy to say order doesn’t matter when it in fact does, and vice versa. Once you get it, it’s really useful, but it can take a bit of thinking and re-thinking. […]

Wanting to know how many statistics questions you'll see on test day? GRE expert Chris Lele goes into details
Just how many probability questions will you see on test day? Is probability worth spending hours and hours studying?

First, a practice question about the following scenario. In a survey, 86 high school students were randomly selected and asked how many hours of television they had watched in the previous week.  The histogram below displays their answers.     1)   Histogram First, a reminder on histograms.  Histograms are not simple bar or column […]

One category of graph you certainly could see on GRE Data Interpretation questions is the scatterplot, and its associated idea of the best fit line. Let’s talk about how these beasts operate! Scatterplots To begin, let’s review scatterplots.  When each data point (each person, each car, each company, etc.) gives you a value for two […]

Fact: An 8 year old boy who is 4’5″ (53 inches) tall is in the 86th percentile for height for his age. What on earth does that mean?  Well, the percentile of an individual tells you what percent of the population has a value of a variable is below that individual’s value of the variable.  […]

Many quake in their boots when they hear that there will be Statistics covered on the GRE. They run to their college stats textbooks, dust off the cover, roll up their sleeves, and start computing the standard deviations of a list of twenty, three-digit numbers. Stop, if this in anyway describes you. The Statistics on […]

Statisticians point out that it’s often useful to “chunk” data to understand it.  What does it mean to “chunk” data? It means dividing a long list into smaller chunks so that, with a few well-chosen numbers, we can get a sense of the layout of the list. The fundamental “chunking” number is the median.  The […]

A distribution is a graph that shows what values of variable are more or less common in a population. Where the graph is higher, there are more people, and where the graph has a height close to zero, there are fewer people.   By far, the most famous and most useful distribution is the Normal […]

Consider the following question: Set T consists of all multiples of 5 from 30 to 225 inclusive Column A Column B Mean of Set T Median of Set T   A. The quantity in Column A is greater B. The quantity in Column B is greater C. The two quantities are equal D. The relationship […]

For the GRE, statistics may not be the hardest thing that you face. However, it is important that you feel confident with these basic concepts!

Over the last couple of months, I have covered a fair amount of GRE combinations and permutations questions on the blog. I’ve gone from the very basic to the very difficult (so difficult that they are more ‘fun problem’ than practical practice). Often, when you are stumped on a problem, it is not that the […]

Understanding Statistics (mean, median, and mode) questions on the GRE is becoming more sophisticated. You will not simply be asked to find the mean, but to think conceptually. For instance, let’s compare the following two problems: 1. What is the mean of 17, 23, 25, 36, 49? (A)    25 (B)    26 (C)    30 (D)   34 (E)    40 […]

Whenever I see a GRE resource label its counting section as “Combinations and Permutations,” a small part of me dies a little. Okay, that’s an exaggeration, but I am concerned about the misleading message that this sort of title conveys. To me, it suggests that counting questions can be solved using either permutations or combinations, […]

In my last two posts, we looked at ways to make up time with probability questions on the GRE by quickly eliminating answer choices, and then guessing the correct answer. In those posts, we examined the following question: From a group of 5 managers (Joon, Kendra, Lee, Marnie and Noomi), 2 people are randomly selected […]