Paired Samples T Test Hypothesis. Of the two samples observations in one sample can be paired with observations in the other sample. 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.
We aren t looking at two independent groups or two independent samples like you would with the two sample t test. μ1 μ2 the two population means are not equal. A paired t test takes paired observations like before and after subtracts one from the other and conducts a 1 sample t test on the differences.
The alternative hypothesis is that the two means differ.
T 4 2 87 4 2 87 p 05 05. A paired t test takes paired observations like before and after subtracts one from the other and conducts a 1 sample t test on the differences. Generally the null hypothesis for a paired samples t test is that 2 variables have equal population means. 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.
