The Paired-samples T-tests compare the scores on the two different variables, but for the same group of cases. If a difference between two means is significant, it is considered to be paired test where the researchers try to analyse the variance between two different variables in the data set. Often the two variables are separated by time or based on different criteria. A paired t-test is utilised, when the researchers or data analysts are interested in the difference between two variables for the same subject. P-value corresponds to the AUC in the tails beyond the –|tstat| and +|tstat|, where the paired T-test is quantitative data analysis. Tstat = (observed mean difference − expected mean difference when 𝐻𝐻0 true) / SEMd It is hereby possible to collect the aired data set on different criteria of the data and variables when the individual is the same for two cases. Duplicate measurements on the same biological samples and any circumstance in which each data point in one sample is uniquely matched to a data point in the second sample. A matched sample is considered as a paired test where the individuals are matched on personal characteristics such as age and gender. International Journal of Quantitative and Qualitative Research Methods. Cross-over trials in which the individuals are randomised to two treatments and then the same individuals are crossed over to the alternative treatment are also considered as a paired set. These plots are available through the SPSS regression menu.
For example, pre-test and post-test results are collected from the same individual and it is known as a paired database which is being tested through paired T-test. The paired sample test considers the analysis of the quantitative outcome based on the aired sample.
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