Biology  by Mr Bradford
03 / resources  ·  internal assessment  ·  stats toolkit

Table it. Plot it. Test it.

The two things students get stuck on most: building a data table that survives moderation, and picking (then actually running) the right statistical test. This does both, live in the browser, plus the ANOVA + Tukey calculator that's genuinely hard to find for free anywhere else.

100% arithmetic. No AI, no server, no data leaves your browser.

Step 01Build your data table
0 groups One row per IV level (group). One column per repeat.

Clean, IA-ready table

Step 02Visualise it
Step 03Which test do I need?

The whole decision tree at a glance, or step through it question by question below.

What are you comparing? A relationship between two variables A difference between group means Observed vs expected counts Both continuous Categorical 2 groups · paired 2 groups · independent 3+ groups Counts against an expected ratio Spearman's rank Chi-squared (association) Paired t-test Unpaired t-test ANOVA + Tukey HSD Chi-squared (goodness of fit)
Step 04Run the test

Uses the two groups from your Step 01 table directly, no need to re-enter anything.

Goodness of fit: compare observed counts against an expected ratio (e.g. a genetic cross, Hardy–Weinberg, or a habitat preference).

CategoryObservedExpected

Enter paired continuous values, one per line (or comma-separated). X and Y must have the same number of values, and ideally n ≥ 10.

Uses all groups from your Step 01 table directly (needs 3+ groups, each with 2+ repeats). Runs a one-way ANOVA, then Tukey HSD on every pair.

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Internal Assessment: RQ & data processing