Quartile Calculator
Compute Q1, the median and Q3 with the position-by-position working, in the exclusive, inclusive and linear-interpolation methods.
Related tools
All Statistics & probability tools →Quartile Calculator is free to use as often as you like, directly from this page. It sits under Statistics & probability in our catalogue, alongside Quartile Deviation Calculator and ANOVA Calculator (One-Way).
How to use it
- Open the tool — no signup or install needed.
- Enter your input or adjust the available options.
- Get your result instantly, then copy or download it.
Frequently asked questions
What is Quartile Calculator?
Compute Q1, the median and Q3 with the position-by-position working, in the exclusive, inclusive and linear-interpolation methods.
When would I actually use this?
Summarising a dataset before drawing conclusions from it, checking whether a difference between two groups is real, and putting an interval around an estimate.
What is the most common mistake?
Reading a p-value as the probability that the hypothesis is wrong. It is the probability of seeing data at least this extreme if the null were true — a different statement, and a much weaker one.
How is Quartile Calculator different from Quartile Deviation Calculator?
They sit next to each other but answer different questions: Quartile Deviation Calculator is the one to open when you need it to compute the semi-interquartile range and its coefficient, a spread measure that the extreme values cannot distort. Pick whichever matches what you're starting from — both are free.
Is there a tool for the next step?
ANOVA Calculator (One-Way) is the closest one after this: Full one-way ANOVA table — SS, df, MS, F and p — plus η², ω² and Cohen's f, because a significant F on its own tells you nothing about how large the difference is. The equal-variance assumption is stated, not buried.
What else is worth having open alongside it?
Average Deviation Calculator (mean absolute deviation) and Bayes Theorem Calculator — they come up in the same task often enough to be worth a second tab.
Where do the figures come from?
Distributions and test statistics are computed from their standard definitions, not from a lookup table, so results carry more digits than a printed table would. The assumptions each test makes are stated with it.