Answer:
A. Simple Random Sampling
B. Cluster Sampling
C. Convenience Sampling
D. Systematic Sampling
E. Stratified Sampling
Step-by-step explanation:
Simple Random Sampling is the sampling when samples are chosen randomly, where each unit has an equal chance of being selected in a sample.
If the population is divided into a different group called cluster and clusters are selected as a sample then it is Cluster Sampling.
In Convenience sampling, observers collect the sample as his\her convenience.
In Systematic Sampling sample is chosen by some criteria like he\she is taken every 10th unit as a sample from the population.
In Stratified Sampling population is divided into several groups such that within the group it is homogeneous and between the group it is heterogeneous. And now a selection of each stratum and unit has an equal chance of selection.
6.32 is the final answer! :)
Answer:
IDK
nvm its writ 5 in beths colum
sorry for my spelling
Step-by-step explanation:
i got it right on apex
Answer: Use employee identification numbers to randomly select 200 employees
Step-by-step explanation:
Random sampling refers to a sampling technique whereby each sample has an equal chance of being selected. It is an unbiased representation of the entire population and this is vital in drawing conclusion.
From the options given, the best way to randomly choose these 200 employees will be to use employee identification numbers to randomly select 200 employees.
