Answer:
1. c. Convenience Simple
2.d. Random Systematic
3.b. Cluster Stratified
4. a. Sampling Method
Step-by-step explanation:
Each sampling method is different and requires a different approach.
For example, a sample of many people will be a simple sample
However, let's consider this scenario: Pulling 50 names from the hat.
This is a random sample as each name has an equal probaibility of being chosen from the list.
Answer: 14%
6
=> -x+4
<u><em>Given that x = -2</em></u>
=> -(-2)+4
=> 2+4
=> 6
