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What is the difference between a paired and an unpaired (independent samples) t-test, and when should you use each?

The short answer

A paired t-test is used when each observation in one group is naturally linked to one observation in the other — same subject before and after, or matched controls. An unpaired (independent-samples) t-test is used when the two groups have no subject-level correspondence. Pairing removes between-subject variance and increases power when that variance is substantial.

How to think about it

Choosing the wrong variant wastes power (unpaired on paired data) or inflates Type I error (paired on unrelated data). The decision flows from how the data were collected, not from the analyst’s preference.

Independent-samples (unpaired) t-test

Two separate groups with no linking structure between individuals. Examples: treatment vs control with random assignment to distinct groups; men vs women; users from two independent A/B buckets.

The test statistic compares x_bar1 - x_bar2 against the pooled (or Welch-adjusted) standard error of that difference.

Welch’s t-test (unequal variances assumed) is the safer default over Student’s pooled t-test:

t = (x_bar1 - x_bar2) / sqrt(s1^2/n1 + s2^2/n2)

Paired t-test

Each data point in group 1 is matched to exactly one data point in group 2. Compute the within-pair differences d_i = x_i1 - x_i2 and run a one-sample t-test on those differences against zero.

t = d_bar / (s_d / sqrt(n))

where n is the number of pairs, d_bar is the mean difference, and s_d is the standard deviation of differences.

Why pairing increases power

Between-subject variability (some people are just faster, taller, or sicker) inflates the standard error in an unpaired design. Pairing cancels this out — only within-subject variability remains in d_i. If the between-subject correlation is high, pairing can dramatically reduce SE and detect smaller effects with fewer subjects.

DesignWhendf
UnpairedTwo independent groupsn1 + n2 - 2 (or Welch df)
PairedMatched pairs or repeated measuresn_pairs - 1

Example

Measuring blood pressure before and after a drug in 30 patients: paired (same patient, two time points). Comparing blood pressure between 30 patients who got the drug and 30 different patients who got placebo: unpaired.

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