The paired t test is generally used when measurements are taken from the same subject before and after some manipulation such as injection of a drug. For example, you can use a paired t test to determine the significance of a difference in blood pressure before and after administration of an experimental pressor substance.
QUESTIONWhen is it appropriate to use the paired difference t-test? ANSWERA.) Four samples are compared at once B.) Any two samples are compared C.) Two inde
When should I use a paired t-test and unpaired t-test? You use a paired t-test when 1. You have two measures on the same sample (e.g., pre/post), and you want to compare them. 2. You have two samples in which the subjects have been deliberately matched as part of an experimental design.
Is this an appropriate use of a paired t-test? Edit - A related question: if the paired t-test is appropriate, is this sufficient correction for batch effects or should/could the data be adjusted prior to testing? Sometimes gene expression data is adjusted for unwanted variation using methods based on factor analysis prior to hypothesis testing, but I'm not sure it's appropriate here.
To compare the difference between the scores in the first and second test, we use a paired t-test because for each student their first test score can be paired with their second test score. For a t-test to produce valid results, the following assumptions should be met:
Statistics Week 6? Imagine you conduct a t-test using IBM SPSS and the output reveals that Levene's test for equality of variance is significant. What should you do? Apply the Bonferroni correction to adopt a more stringent significance criterion or use more appropriate tests for multiple comparisons. The paired differences f) The t, df and Sig. columns
Please let the audience know your advice: