The difference between the values of degrees of freedom for one sample t tests and related means t tests is that
A) related means t tests have a df = N - 2, where N is the number of pairs of scores.
B) related means t tests have a df = N, where N is the number of pairs of scores.
C) related means t tests have a df = N - 1, where N is the number of pairs of scores.
D) one sample t tests have a df = N - 2, where N is the total number of raw scores.

Question

Quizplus · Accepted Answer

For related means t tests, the degrees of freedom are calculated as df = N - 1, where N is the number of pairs of scores. This is because each pair adds one constraint on the data, reducing the effective sample size by one. On the other hand, for one sample t tests, the degrees of freedom are calculated as df = N - 1, where N is the total number of raw scores in the sample minus one degree of freedom for estimating the population mean. Therefore, option C is the correct choice.

The Difference Between the Values of Degrees of Freedom for One