About GRE Data Analysis
GRE Data Analysis covers descriptive statistics (mean, median, mode, standard deviation), probability, and reading information out of graphs, tables, and charts — often considered the most "real-world" of the four Quant areas.
Every question here comes from the same practice bank used inside the nerzia GRE app, with a full step-by-step explanation whether you get it right or wrong.
Common questions
Is GRE Data Analysis hard?
It's generally considered one of the more approachable Quant areas since it leans on reading comprehension of charts and tables as much as calculation — but standard deviation and probability questions can still be tricky under time pressure.
What statistics do I need to know for the GRE?
Mean, median, mode, range, and standard deviation (conceptually, not the formula), plus basic probability rules and how to read tables, bar graphs, and scatter plots.
Does the GRE test combinatorics?
Yes, occasionally — basic permutations and combinations show up, though less often than core statistics and graph-reading questions.
How can I practice more GRE data analysis questions?
Every round pulls 10 fresh random questions from our bank, so you can retry as many times as you want. For a broader mixed-topic check, try the
full Quant practice tool or the
diagnostic.