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When to use a paired or two sample t test?
If you are studying one group, use a paired t-test to compare the group mean over time or after an intervention, or use a one-sample t-test to compare the group mean to a standard value. If you are studying two groups, use a two-sample t-test. If you want to know only whether a difference exists, use a two-tailed test.
How is the t test a parametric test?
The t-test is a parametric test of difference, meaning that it makes the same assumptions about your data as other parametric tests. The t-test assumes your data: The t-test assumes your data: are independent
Which is the null hypothesis in a t test?
You can test the difference between these two groups using a t-test. The null hypothesis (H 0) is that the true difference between these group means is zero. The alternate hypothesis (H a) is that the true difference is different from zero. What type of t-test should I use?
What do you need to know about the t test?
The t-test is a parametric test of difference, meaning that it makes the same assumptions about your data as other parametric tests. The t-test assumes your data: are (approximately) normally distributed.
Last Update: Oct 2021
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