Paired t testIt is a common t-test method, which refers to analyzing samples obtained from the same whole under different conditions to evaluate the impact of the conditions, including different storage environments, different measurement systems, etc. In addition, the t-test also includes single-sample t-test, multi-sample t-test, etc.

The significance of paired t test

When the two samples are related, use the paired t-test to do the following:

• Determine whether the difference, mean, or target value between two paired samples is zero;
• Calculates the range of differences that is likely to contain the population mean.

Paired design: Certain characteristics of the test subjects are paired according to the principle of similarity. The purpose is to eliminate the influence of confounding factors. At the same time, the observation objects remain consistent except for the treatment factors and research factors. The two individuals in each pair are treated randomly.

Purpose: To determine the impact of different treatments.

Paired t-test scenario example

Classify two similar objects in different ways, as follows:

• Conduct before-and-after observations on the same subject;
• Compare the differences between two different measurement methods or two different treatment methods for the same test subject.

Parent term: t-test

Sub-terms: one-sample t-test, two-sample t-test