Answer: Can you show the full question.
Step-by-step explanation:
Answer:
When all possible differences between pairs of population means are evaluated not with an F test, but with a series of regular t tests, the probability of at least one:
A. type I error is larger than the specified level of significance.
B. type II error is larger than the specified level of significance.
C. type I error is smaller than the specified level of significance.
D. type II error is smaller than the specified level of significance.
Answer : Type I error is larger than the specified level of significance.( A )
Step-by-step explanation:
An F test is a test that is used to test whether the variances between pairs of populations are equal while a T test is a test used to check if a pair of population are equal not considering the fact that the variances of the population are different .
When a T test is used to evaluate all possible differences between pairs of population instead of F test there is a probability of atleast one type 1 error larger than the specified level of significance.
Answer: Keep the equal signs lined up, Even if you can do it your head, write it all out. If less than 4 inches of room, get out a new sheet of paper to do it on.
Step-by-step explanation:
A postive linear associtation
This is the process of completing the square.
Keep this equation in mind:
Basically, to make this a perfect square trinomial, you take half of b and square that value. This will make it so you can compress the left side of the equation into
depending on the sign in the middle of the original equation.
