Answer:
Population vs Sample.
Step-by-step explanation:
Population vs Sample. The main difference between a population and sample has to do with how observations are assigned to the data set.
Simple random sampling refers to a sampling method that has the following properties. The population consists of N objects. The sample consists of n objects. All possible samples of n objects are equally likely to occur
B) Likely
Unlikely = < 50%
Likely = > 50%
Certain = 100%
Equally likely = 50%
The last one: 25%
jnow colata
39/500