Answer:
A. Similar; congruent angles
Step-by-step explanation:
Answer: shade too the left
Step-by-step explanation: i don't know what closed point is but if you use something called desmos then press start graphing and put in that equation it will give you the graph you need
Cluster sampling and stratified sampling both involve selecting subjects in subgroups of the population. what is the difference between those two types of sampling?
Answer: Cluster sampling and stratified sampling both involve selecting subjects in subgroups of the population. But the difference is that in cluster sampling all the subjects of the selected subgroup are studied. While in stratified sampling, only randomly selected subjects of subgroups are studied.
Cluster Sampling is a probability sampling method where the target population is divided into clusters. Some of these clusters are selected randomly for sampling and all the members are studied under each randomly selected cluster.
Stratified Sampling is a probability sampling method, in which a population is divided into unique, homogeneous strata, members from these strata are randomly selected to form a sample.
Sorry i can not see the line
