Practice the core tools of descriptive statistics used to summarize and interpret data. These quizzes cover measures of center and spread, percentiles, and reading tables and charts so you can describe datasets clearly and accurately.

Build confidence with the three core measures of center: mean, median, and mode. You’ll practice quick calculations, choosing the right measure for a dataset, and interpreting what each one says about “typical” values. Great for students, refresher study, or anyone brushing up on descriptive statistics.

Test your understanding of spread with range, interquartile range (IQR), and standard deviation. You’ll work through quick calculations and interpretation questions, including choosing the best measure for a situation. Pick how many questions you want and the difficulty level, then practice at your own pace with no timer.

Sharpen your ability to interpret box plots and histograms with real, exam-style visuals and scenarios. You’ll practice spotting center, spread, skewness, and outliers, then translating what you see into clear statistical statements. Choose your preferred question count and difficulty to match quick refreshers or deeper practice.
There are 3 quizzes with 322 questions total.
You’ll practice measures of center and spread, quartiles and percentiles, and interpreting common charts like histograms and box plots.
Each question is multiple-choice with 4 options, and there is no timer.
Yes. Some questions focus on computing statistics, while others test how to interpret what the numbers and graphs mean.
No. The 3 quizzes vary in difficulty and length, mixing quick concept checks with longer multi-step problems.
These Descriptive Statistics quizzes help you summarize datasets using the most common numerical measures and visual interpretations.
You’ll work with mean, median, mode, range, variance, standard deviation, quartiles, percentiles, and interpreting distributions from tables or graphs.
Each question has 4 answer options and there is no timer, so you can focus on accuracy and reasoning.
Difficulty and length vary across the set: you’ll see quicker definition-and-formula checks as well as longer, multi-step calculation and interpretation items.
Descriptive statistics is the foundation of data analysis because it turns raw observations into interpretable summaries before you model or infer anything.
Many real-world dashboards rely heavily on descriptive measures (like medians and percentiles) because they are robust to outliers and easier to communicate than complex models.