Editing Student's t-test (section)

===Dependent ''t''-test for paired samples===
This test is used when the samples are dependent; that is, when there is only one sample that has been tested twice (repeated measures) or when there are two samples that have been matched or "paired". This is an example of a [[paired difference test]]. The ''t'' statistic is calculated as

: <math>t = \frac{\bar{X}_D - \mu_0}{s_D/\sqrt n}, </math>

where <math>\bar{X}_D</math> and <math>s_D</math> are the average and standard deviation of the differences between all pairs. The pairs are e.g. either one person's pre-test and post-test scores or between-pairs of persons matched into meaningful groups (for instance, drawn from the same family or age group: see table). The constant {{math|''μ''<sub>0</sub>}} is zero if we want to test whether the average of the difference is significantly different. The degree of freedom used is {{math|''n'' − 1}}, where {{math|''n''}} represents the number of pairs.
: {|
|- style="vertical-align:bottom"
|style="padding-right:2em"|
{| class="wikitable"
|+ Example of matched pairs
|-
! Pair !! Name !! Age !! Test
|-
| 1 || John || 35 || 250
|-
| 1 || Jane || 36 || 340
|-
| 2 || Jimmy || 22 || 460
|-
| 2 || Jessy || 21 || 200
|}
|
{| align="right" class="wikitable"
|+ Example of repeated measures
|-
! Number !! Name !! Test 1 !! Test 2
|-
| 1 || Mike || 35% || 67%
|-
| 2 || Melanie || 50% || 46%
|-
| 3 || Melissa|| 90% || 86%
|-
| 4 || Mitchell || 78% || 91%
|}
|}