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Responding to: Disc1
Various Forms of the t Test
In what research situations should the paired samples t test be used rather than the independent samples t test?
Based on the information that was provided by Warner (2013) a t TEST is a procedure that is used for comparing a set of sample means to see if there is evidence between two population means. A t test will determine if the two population means differ from each other and it will also tell how much it will differ from each other if any difference. Something that would use a t test that is stated in Warner (2013) is treatment a have a higher rate of recovery than treatment b. Paired sample t test is used to compare two population mean where you have two sample and the one sample can be paired with the other sample that is being observed. For example you would use a paired sample t test would be drinking water. You can compare a certain zinc value from bottle water and tap water. Independent sample t test is a test that compares the means of two groups to find out if there is evidence that population means are different. An example of that would be comparing two different states on what they spend a week on fast food.
Warner, R. M. (2013). Applied Statistics: From Bivariate Through Multivariate Techniques, 2nd Edition. [Bookshelf Online]. Retrieved from https://online.vitalsource.com/#/books/9781483305974/
Various Forms of the t Test
A t test is a statistic that is used to test hypotheses about scores on quantitative variables (Warner, 2013). A paired sample t test is indicated when scores come from a repeated measures study a pretest/posttest design, matched samples or other design in which scores are paired in some way. An independent t test is a parametric test that is best used when groups being compared are between-subjects or independent group. When it comes to choosing which to use a paired t test should be chosen over an independent t test if the data comes from a within-subjects or repeated measures design a paired sample t test should be chosen.
Applied Behavior Analysis
Warner, R. M. (2013). Applied statistics: From bivariate through multivariate techniques (2nd ed.). Thousand Oaks, Calif.: SAGE Publications.