When to use Cohen's d and when t-test? - Cross Validated
The t-test is an attempt to tell you have enough evidence to reject the idea that the difference is non-zero. However, a non-zero difference could be, in practical terms, completely irrelevant. Also, don't forget you have to make technical assumptions when using the t-test, e.g. you default to assume the two groups have the same variance.
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