Paired vs. Unpaired t-test: What’s the Difference? - Statology These assumptions should be checked before performing either t-test to ensure that the results of the test are reliable Pros Cons The paired t-test offers the following pros: A smaller sample size is required Notice that the paired t-test in the previous example only required 10 total students while the unpaired t-test required 20 total
How to Perform a Paired Samples T-Test - julius. ai There are different types of t-tests you can use depending on the nature of your data Below is a brief overview of the common types of t-tests used: 1 Independent Samples t-test: Used when you have two independent groups that you would like to compare the means of Your two groups must be sampled independently from one another
Comparison among 3 paired data sets. (paired t-test, ANOVA?) $\begingroup$ Tuckey's test is not for paired samples You can still use it I think, but you would lose some power I think that within subjects ANOVA's take care automatically of computing the differences Not entirely sure since I cannot use them in my experimental setup for another reason
The Paired t -Test - JMP What is the paired t-test? The paired t-test is a method used to test whether the mean difference between pairs of measurements is zero or not When can I use the test? You can use the test when your data values are paired measurements For example, you might have before-and-after measurements for a group of people
Paired-Samples T Test - IBM The Paired-Samples T Test procedure compares the means of two variables for a single group The procedure computes the differences between values of the two variables for each case and tests whether the average differs from 0 The procedure also automates the t-test effect size computation Example
Paired Sample T-Test: Get Accurate Results from Your Data . . . The paired sample t-test is used to compare two sets of related data, so you must first determine if your data is related or not If the data is not related, then the paired sample t-test is not the appropriate test to use 2 Determine the type of test you need The paired sample t-test is used to compare the means of two related samples
Dependent t-test for paired samples - Laerd The dependent t-test can be used to test either a "change" or a "difference" in means between two related groups, but not both at the same time Whether you are measuring a "change" or "difference" between the means of the two related groups depends on your study design The two types of study design are indicated in the following diagrams