The two groups should be independentĪs the name of the test suggests, the two groups should be independent of each other. Conversely, if there is just a single group of data, it is likely a one-sample t-test is required. If there are more than two groups, you may require a One-Way ANOVA test. An example of qPCR data comparing two independent groups For example, comparing a group of young and old individuals or males and females. Only two groups are comparedįor an independent t-test, only two groups should be present.
For example, measuring height in centimetres is a type of continuous dataset. The data in question must be on a continuous scale.
Failure in meeting all of the assumptions can lead to inappropriate interpretations of the data.īelow is a list of assumptions which need to be met before performing an independent t-test. Before performing an independent (unpaired) t-test, there are five assumptions that need to be satisfied.
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