A Simple Overview of Two Dependent Samples Paired T-Test

 Two dependent samples paired t-test is frequently used by researchers to compare the mean of two populations and find out whether the mean difference among both the population is zero. On talking about the dependent sample t-test, are you looking for a detailed and easy explanation over the topic? If yes, then stick with us to get a quick review over Pairs t-test:

Defining two dependent samples paired t-test:

Dependent samples t-test is also known by many other names like t-test for related sample, t-test for dependent means, matched- pairs t-test, repeated measure t-test, and more. In simple terms, two dependent samples t-test used to compare the mean of two samples, which are supposed to be related to each other in one or some other way. The related means can be from the same individual, object, or relevant units.

Three types of related samples can be:

  • The observations were taken of a sample at two different times. (For example bacterial growth on a medium after five hours of incubation and after 10 hours of incubation.)
  • Observations were taken from an individual under two different conditions (For example level of happiness or satisfaction in a child with his friends and when not with friends).
  • Observations were taken from the two sides of a unit or individual (For example: measuring the level of eye weakness in a person’s right and left eye.

The two dependent sample pairs t-test is a parametric test that determines whether the mean difference between two related samples on a specific outcome is zero or significantly different.

Condition for conducting two dependent sample pairs t-test:

This t-test can only conduct to compare the means for only two related values on a continuous outcome, which is normally distributed. The test is not suggested to analyses unpaired data, comparing more than two sets of samples or comparing the continuous outcome of that is unevenly distributed.

The test can be implemented for statistical differences between:

  1. Two-time points
  2. Two conditions
  3. Two measurements
  4. A matched pair

In short, the two dependent Samples Paired T-Test examples will easily calculations of your data and make your statistics problem made simple.

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