Binomial test

When to consider it

• Single dichotomous variable compared to an expected proportion.

Assumptions and scope

• Independent binary trials with a common probability and a prespecified reference proportion.

Required inputs

• Successes — Enter the method parameter described above.
• Trials — Enter the method parameter described above.
• Null proportion — Enter the method parameter described above.

Review missing values and data coding before running. Sample inputs are synthetic teaching examples.

Implementation

Lifescio validates inputs and formats results; listed functions are the principal calculation routines, not an exhaustive transitive dependency list.

• scipy 1.15.3: scipy.stats.binomtest

These are pinned library versions; saved results record the versions actually used at runtime.

Library references

• SciPy statistical methods
• statsmodels models and statistical tests
• scikit-learn clustering
• lifelines survival comparisons