UNCORRELATED - t - Ratio - DEFINITION AND EXPLANATION

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The Independent Samples t Test compares the means of two independent groups in order to determine whether there is statistical evidence that the associated population means are significantly different. The Independent Samples t Test is a parametric test.

This test is also known as:

  • Independent t Test

  • Independent Measures t Test

  • Independent Two-sample t Test

  • Student t Test

  • Two-Sample t Test

  • Uncorrelated Scores t Test

  • Unpaired t Test

  • Unrelated t Test

The variables used in the test are known as:

  • Dependent variable, or test variable

  • Independent variable, or grouping variable

The Independent Samples t Test is commonly used to test the following:

  • Statistical differences between the means of two groups

  • Statistical differences between the means of two interventions

  • Statistical differences between the means of two change scores

Note: The Independent Samples t Test can only compare the means for two (and only two) groups. It cannot make comparisons among more than two groups. If you wish to compare the means across more than two groups, you will likely go for an ANOVA.

 

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