<span>Both variables are categorical. We analyze an association through a comparison of conditional probabilities and graphically represent the data using contingency tables. Examples of categorical variables are gender and class standing.</span>
I think you've got it, I don't know man.
Answer:
Step-by-step explanation:
Given that a statistics student would like to estimate the average age of students at her college.
Population std dev =2.5years
For 99% , Z critical = ±2.59
Margin of error = 
Simplify to get

n = 167.70
n=168
She must survey 168 people
The center is (0,0).
The radius is 7.