One sample t-test
Hypothesis tests · Method and input reference
Tests are two-sided. Normality reports Shapiro–Wilk and D’Agostino–Pearson where sample size permits. Outliers use Tukey 1.5×IQR fences; observations are not removed. Synthetic example: 120 baseline systolic blood pressures (mmHg), with between-person variation. Illustrative data, not clinical evidence.
Open calculator · Compare methods in the decision matrix
When to consider it
- Compare a numeric population mean against a prespecified reference.
Assumptions and scope
- Observations must be independent between subjects; repeated rows from one subject are not independent samples.
- Use the outcome and predictor coding required by the calculator; review missing data and model diagnostics.
Required inputs
- Observations — Numeric observations; preserve the row and column structure described above.
- Null mean — 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.ttest_1samp
These are pinned library versions; saved results record the versions actually used at runtime.