dataFrame.columns.stat — tTwoSamples()

The tTwoSamples() method of the stat object performs a two-sample t-test between two selected columns.

dataFrame.columns(...columnNames).stat.tTwoSamples({ comparison: 'student' })

Scope

columns

Family

stat

Returns

object

...columnNames ( string[] )

The name of the columns from which to compute the t-test.

options (object)

T-test options.

comparison (string)

The comparison method used to compute the t-test.

• paired
• student (default)
• student

stat (object)

A statistic object containing the t-test results.

T_stat (number)

The computed t-test statistic.

df (number)

The degrees of freedom of the test.

p_value (number)

The p-value associated with the test statistic.

confidence (number)

A confidence score computed as 1 - p_value.

• The method requires exactly two selected numeric columns.
• The null hypothesis states that both samples have the same mean.
• The student comparison assumes equal variances between samples.
• The welch comparison does not assume equal variances.
• The paired comparison requires paired observations and tests the mean difference between pairs.
• Small p-values indicate evidence against the null hypothesis.
• Positive t-scores indicate that the first sample mean is greater than the second sample mean.
• Negative t-scores indicate that the first sample mean is lower than the second sample mean.
• The confidence score is calculated as 1 - p_value.