When should you use paired samples t tests as follow up tests?
The Paired Samples t Test is commonly used to test the following:
- Statistical difference between two time points.
- Statistical difference between two conditions.
- Statistical difference between two measurements.
- Statistical difference between a matched pair.
How many groups are in a paired t-test?
A paired t-test (also known as a dependent or correlated t-test) is a statistical test that compares the averages/means and standard deviations of two related groups to determine if there is a significant difference between the two groups.
How to perform a paired sample t test?
The formula to perform a paired samples t-test. The assumptions that should be met to perform a paired samples t-test. An example of how to perform a paired samples t-test.
What’s the difference between paired and independent t tests?
Paired-samples t tests compare scores on two different variables but for the same group of cases; independent-samples t tests compare scores on the same variable but for two different groups of cases. The chapter also discusses three hypothesis-testing related topics: types of errors, substantive
Why are the scores of a paired sample test?
scores are paired samples because the two samples consist of the same persons. This is a one-tailed hypothesis test since the difference between the means must be sufficiently. large and in a particular direction (greater tolerance for speeches than for college teaching) to reject the null hypothesis.
When to reject null hypothesis in paired samples?
If the p-value that corresponds to the test statistic t with (n-1) degrees of freedom is less than your chosen significance level (common choices are 0.10, 0.05, and 0.01) then you can reject the null hypothesis. Paired Samples t-test: Assumptions For the results of a paired samples t-test to be valid, the following assumptions should be met: