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- No jargon required. Describe your data and your goal the way you'd explain it to a colleague.
- Theses, studies, program evaluations, surveys, business data.
- Rather work it out yourself? Try the test chooser below.
Interactive guide
Which statistical test should I use?
Answer a few plain-language questions. You'll get a suggested test, what to check before you trust it, and links to free tools.
A starting point, not a substitute for looking at your data. Design details such as clustering, missing data, and multiple comparisons can change the right answer.
Free resources
Free tools and guides
These live on the DASS site and are free to use.
Tools
Power analysis calculators
Plan sample size for t-tests, ANOVA, correlations, chi-square, and multilevel designs.
Open calculators →APA 7 results formatters
Turn statistical output into clean, copy-ready APA sentences. Runs in your browser.
Open formatters →Check a reported p-value
Recompute the exact p from a t, F, chi-square, or correlation statistic and compare it to what was reported.
Check a p-value →Guides
Answers
Recent questions, answered
Plain-language answers to statistics questions people are asking.
Is the chi-square test one-tailed or two-tailed?
Why a chi-square test reads only the right end of its curve yet detects differences in any direction, and why its p value is never halved.
Read the answer →Why does the central limit theorem work? An intuitive explanation
Averages look normal because averaging erases every feature of the original shape except its center and spread. The idea, without heavy math.
Read the answer →Is a non-significant result from a large study evidence for the null?
When failing to reject the null hypothesis tells you something, why the p value alone cannot show it, and how equivalence tests make the case.
Read the answer →Need more than an answer?
AskStats is run by DASS. If your question turns into a project (study design, data analysis and visualization, or training for your team), book a free 30-minute strategy call.