3.2- Sampling Techniques

What is the difference between a population and a sample?

•  A sample is always larger than a population.

•  A population includes all members of a defined group. A sample is a subset of the population.

• A population is a small group. A sample is a big group

• A population is a sample that is representative of the whole group.

What is simple random sampling?

• Simple random sampling is a method where each member of the population has an equal chance of being selected.

• Simple random sampling is used only for small populations.

• Simple random sampling is a complex method that requires advanced statistical knowledge.  

• Simple random sampling involves selecting only the most common elements.

What is systematic sampling?

• Systematic sampling requires selecting the first member randomly.  

•  Systematic sampling involves selecting members based on convenience.

• Systematic sampling involves selecting members based on their characteristics.  

• Systematic sampling involves selecting every nth member of the population after a random start.

What is convenience sampling?

• Convenience sampling is the same as random sampling.

• Convenience sampling involves selecting the easiest or most convenient members from the population.

• Convenience sampling involves selecting the most diverse members. 

• Convenience sampling is the most accurate sampling method.

What does it mean when a sample
is biased?

• A biased sample is always intentional.  

• A biased sample is the most accurate representation of the population.

•  A biased sample is one that does not accurately represent the population due to the method of selection.

• A biased sample is always small.  

What is quota sampling?

• Quota sampling involves selecting the most common elements.

• Quota sampling involves selecting the most unique members.

• Quota sampling involves selecting a sample that reflects the characteristics of the whole population based on predetermined quotas.

• Quota sampling involves selecting members randomly.

What is stratified sampling?

•  Stratified sampling involves dividing the population into subgroups and then selecting a sample from each subgroup.

• Stratified sampling involves selecting members based on convenience.

• Stratified sampling involves selecting the easiest members. 

• Stratified sampling involves selecting members randomly.