ASSESSMENT

A. Identify term/s or phrase/s being described in each number. Write your answer on your paper.

1. Which is not known in a t-distribution?
2. What should the sample size be to use t distribution if you know the data is normally distributed?
3. What should the sample size be to use z distribution?
4. When will the bell curves for t and z distribution look the same?
5. Why do we use a t-distribution instead of a z-distribution for means?
6. What is the degrees of freedom equal to?
7. How does t-distribution somehow alike with normal distribution?
8. This is a measure of position with data divided into 100 parts.
9. The proponent of t-distribution
10. This refers to the maximum number of logically independent values which vary in the data sample.