reply to this post Paired t-test are good to use when two measurements are taken from the same individuals, objects, or units at different times or under different conditions [KSU, n.d.]. An advantage of the paired t-test is that it can reduce variability, therefore increasing precision. This is because using the same sample makes it where there is a control for individual differences that can affect outcome. With independent samples, variability between subjects can conceal the effect of intervention. Paired t-test can also enhance statistical power, control confounding variables, and are easy to follow up on. With the reduction of variability and increased statistical power, the paired t-test is a important test tool in healthcare settings. These advantages are required for clinical researchers to accurately assess intervention effects and are essential for improving patient outcomes and informing healthcare decision-making. In relevance to my low birth weight data set, a t-test can be used in women who have a history of birthing a baby with low birth weight. Interventions can be implemented during a second pregnancy and the birthweights of both the babies can be compared