Answer:
Step-by-step explanation:
the second option.
Answer:
A1)
Stratified sampling: Here, sampling is performed on element within each stratum( the European store and the United States store. Therefore, The technique of randomly selecting 1,000 employees from a list of all employees at the United States stores and 600 employees form a list of all employees at the European stores is a stratified sampling.
A 11)
Cluster sampling :
It involves dividing total population into groups, which should be a representation of the total population and each identified cluster is treated as a sampling unit, by randomly selecting 8 stores from 800, we have chosen 8 clusters, and all samples in the 8 clusters being sampled signals a single stage cluster design.
B) Advantage : stratified sampling usually saves cost as it encourages a small subset of the population while also encougung representativeness.
Disadvantage : It requires that the experimenter has prior knowledge of the population before being able to group into stratums
Step-by-step explanation:
Answer:
30
Step-by-step explanation:
if you add both with 150 its still going to be the same thing.
5x-5=0
You simplify the left side
