Question

1. How is the Dependent Samples t Test different from Independent samples t Test in terms of samples?
2. What are similarities in the assumptions behind both the Dependent and Independent Samples t Test?
3. What is Dependent Samples t Test with one sample also known as
4. In a dependent Samples t test what is the df for a sample of 100 participants in a particular study?

Answer 1

Dependent t test is carried out on the observations taken on the same sample units. For example the weight of baby before treatment and after treatment. In this case we cannot collect the data on different individuals. It is not appropriate. Hence for comparison we collect the data on same individual. In independent t test, two samples are independent. For example weight of male and female.

For both the tests, normality of the data is the necessity. Also population variance is unknown and sample size is small. These are the similarities for both the tests.

Dependent samples t test is also known as paired t test.

For dependent samples t test, degrees of freedom are 99.