Can you do multiple paired t-tests?

Can you do multiple paired t-tests?

A Pair: The “Pair” column represents the number of Paired Samples t Tests to run. You may choose to run multiple Paired Samples t Tests simultaneously by selecting multiple sets of matched variables. Each new pair will appear on a new line.

What does a repeated-measures t-test tell you?

The t-test assesses whether the mean scores from two experimental conditions are statistically different from one another. A repeated-measures t-test (also known by other names such as the ‘paired samples’ or ‘related’ t-test) is what you should use in situations when your design is within participants.

What are the assumptions for a dependent t-test?

The dependent variable must be continuous (interval/ratio). The observations are independent of one another. The dependent variable should be approximately normally distributed. The dependent variable should not contain any outliers.

What is a dependent measures t-test?

The t-test for dependent means compares the mean difference between sample scores that are linked by the study design to an expectation about the difference in the population. In t-tests, we estimate the population variances/standard deviations from sample data (S).

What does the dependent t test for paired samples do?

Dependent t-test for paired samples. What does this test do? The dependent t-test (also called the paired t-test or paired-samples t-test) compares the means of two related groups to determine whether there is a statistically significant difference between these means.

When to use a repeated measures t test?

Repeated-Measures t-test The t-test assesses whether the mean scores from two experimental conditions are statistically different from one another. A repeated-measurest-test (also known by other names such as the paired samples or related[ t-test) is what you should use in situations when your design is within participants.

Is the sample size of 2 sample t test the same?

The data are the same for both analyses and the differences between samples are the same (-11.62). The 2-sample t-test uses a sample size of 30 (two groups with 15 per group), while the paired t-test has only 15 subjects, but the researchers test them twice.

Why are outliers bad for the dependent t test?

The problem with outliers is that they can have a negative effect on the dependent t-test, reducing the validity of your results. In addition, they can affect the statistical significance of the test.