In: Statistics and Probability
What is needed to calculate the critical region for the t-test for a single sample?
A. Alternative hypothesis only
B. Alpha and Alternative Hypothesis only
C. df, alpha, and alternative hypothesis
D. df and alternative hypothesis only
Solution:
To calculate the critical region for the t-test for a single sample , we need :
i) df : Degrees of Freedom = n -1
ii) Level of significance = which is the
area of rejection region
iii) Alternative hypothesis which decides whether test is one tailed or two tailed.
So if test is one tailed , then we assume Level of significance
= as one tailed
area and look in t table for One tailed area as size of Level of
significance =
and for
associated degrees of freedom, then we find corresponding t
critical value, which is the boundary point of rejection
region.
In case of two tailed test, we assume Level of significance =
as two tailed
area and look in t table for two tailed area as size of Level of
significance =
for associated
degrees of freedom, then we find corresponding t critical value. In
this case we have two critical regions. So we have two t critical
values and these two values are boundary points of rejection region
in left and right tail.
Thus in order to get the critical region for the t-test for a single sample , we need :
C. df, alpha, and alternative hypothesis