Y12 1.03 Types of Samples

What is a sample in research?

• A complete set of data from a population

• A part of a population used to collect data

• A method of analyzing data

• A type of population

Which sampling technique involves dividing the population into subgroups?

• Systematic sampling

• Cluster sampling

• Stratified sampling

• Random sampling

How is a random sample obtained?

• By giving every member an equal chance of being selected

• By choosing members based on convenience

• By dividing the population into clusters and selecting one

• By selecting every nth member of the population

What is the main difference between cluster sampling and stratified sampling?

• Stratified sampling is used for large populations, cluster sampling is not

• Cluster sampling selects every nth member, stratified does not

• Stratified sampling's subgroups have similar characteristics, unlike cluster sampling

• Cluster sampling uses convenience while stratified does not

What is a systematic sample?

• A sample that includes every member of the population

• A sample derived from dividing the population into clusters

• A sample where members are chosen based on their proximity

• A sample where members are selected at regular intervals from a starting number

What is a potential drawback of convenience sampling?

• It cannot be used for large populations

• It requires a large sample size

• It is time-consuming

• It often leads to biased results

How can researchers obtain a random sample using technology?

• By interviewing every member of the population

• By using a random number table

• By dividing the population into subgroups

• By selecting members based on their responses

What is the purpose of dividing a population into clusters for sampling?

• To decrease the sampling error

• To ensure every member is sampled

• To make the sampling process more cost-effective and efficient

• To increase the sample size

What is a sampling error?

• The number of members in a sample

• The cost associated with sampling

• The time it takes to complete the sampling

• The difference between the results of a sample and the actual population

Which sampling method involves selecting members at regular intervals?

• Systematic sampling

• Random sampling

• Convenience sampling

• Cluster sampling