studentTTestOneSample

Applies the one-sample Student's t-test to determine whether the mean of a sample differs from a known population mean.

Normality is assumed. The null hypothesis is that the sample mean equals the population mean.

Syntax

studentTTestOneSample([confidence_level])(sample_data, population_mean)

The optional confidence_level enables confidence interval calculation.

Arguments

sample_data — Sample data. Integer, Float or Decimal.
population_mean — Known population mean to test against. Integer, Float or Decimal (usually a constant).

Parameters

confidence_level — Confidence level for confidence intervals. Float in (0, 1).

Notes:

At least 2 observations are required; otherwise the result is (nan, nan) (and intervals if requested are nan).
Constant or near-constant input will also return nan due to zero (or effectively zero) standard error.

Returned values

Tuple with two or four elements (if confidence_level is specified):

calculated t-statistic. Float64.
calculated p-value (two-tailed). Float64.
calculated confidence-interval-low. Float64. (optional)
calculated confidence-interval-high. Float64. (optional)

Confidence intervals are for the sample mean at the given confidence level.

Examples

Input table:

┌─value─┐
│  20.3 │
│  21.1 │
│  21.7 │
│  19.9 │
│  21.8 │
└───────┘

Without confidence interval:

SELECT studentTTestOneSample()(value, 20.0) FROM t;
-- or simply
SELECT studentTTestOneSample(value, 20.0) FROM t;

With confidence interval (95%):

SELECT studentTTestOneSample(0.95)(value, 20.0) FROM t;

See Also