Paired Samples T Test Hypothesis. The dependent variable should be approximately normally distributed. The dependent variable must be continuous interval ratio.
μ1 μ2 the two population means are equal h1. In a paired sample t test the observations are defined as the differences between two sets of values and each assumption refers to these differences not the original data values. Of the two samples observations in one sample can be paired with observations in the other sample.
The dependent variable must be continuous interval ratio.
We only have a sample of n 19 students and sample outcomes tend to differ from population outcomes. The test required two dependent samples which are actually paired or matched or we are dealing with repeated measures. The alternative hypothesis h1 states that there is a significant difference between the two population means and that this difference is unlikely to be caused by sampling error or chance. Of the two samples observations in one sample can be paired with observations in the other sample.
