Which of these statements best explainsclustersampling?

• a.)
• In the cluster sampling method, elements are randomly selected from the total population.
• b.)
• In the cluster sampling method, total population is roughly divided into groups based on location and a simple random sample of the groups is taken.
• c.)
• In the cluster sampling method, population is broken into groups and then elements are randomly selected in proportion from each group.
• d.)
• The cluster sampling method is a combination of random sampling techniques.

Which of these is an example of multi-stage sampling?

• a.)
• Randomly selecting households from the entire population of Florida.
• b.)
• Dividing the total population of Florida into groups and then selecting households in proportion from these groups.
• c.)
• Dividing the population of Florida into groups and then making simple random samples of those groups.
• d.)
• Choosing Florida as a sample, then selecting a sample of school districts within Florida, then sampling the number of children in households living in those areas.