Which sampling method divides the population up into sections, randomly selects some of those sections, then chooses all the members from the selected sections to study?
Answer: The above mentioned type of sampling is called cluster sampling.
Cluster sampling is a sampling technique in which the entire population of interest is divided into clusters or groups, then the investigator randomly selects some of these clusters and all the members of these randomly selected clusters are investigated.
Answer: x = −12
Step-by-step explanation:
−27 = x −15
x − 15 = −27
x − 15 + 15 = −27 + 15
x = −12
9 x 8= 72, so the answer would be:
72
P(LC / S) = P(S intersect LC) / P(S)
P(S intersect LC) = P(S)*P(LC / S) = 0.19 * 0.158 = 0.03
