Probs & Stats Unit 3 Review

What is the entire pool from which a statistical sample is drawn called?

• Sample

• Population

• Census

• Cluster

Which sampling method involves selecting every nth individual from a list?

• Convenience Sample

• Simple Random Sample

• Systematic Sample

• Multistage Sample

What is a sample that accurately reflects the corresponding parameters of the population called?

• Biased Sample

• Representative Sample

• Convenience Sample

• Cluster Sample

Which sampling method is considered uncommon because it involves using every single individual in the population?

• Census

• Stratified Sample

• Cluster Sample

• Multistage Sample

Why is randomness important in creating a sample?

• It makes the sample larger

• It helps create a sample that is representative of the population

• It reduces the cost of sampling

• It ensures convenience

What is a stratified sample?

• A sample chosen by dividing the population into homogeneous groups and selecting the same number of individuals from each group.

• A sample chosen by selecting individuals randomly from the entire population.

• A sample chosen by dividing the population into clusters and selecting entire clusters.

• A sample chosen by using a convenience method.

What is a cluster sample?

• A sample chosen by dividing the population into homogeneous groups and selecting the same number of individuals from each group.

• A sample chosen by dividing the population into clusters and selecting one or more entire clusters.

• A sample chosen by selecting individuals randomly from the entire population.

• A sample chosen by using a systematic method.

What is a multistage sample?

• A sample chosen by using only one sampling method.

• A sample chosen by combining two or more sampling methods.

• A sample chosen by selecting individuals randomly from the entire population.

• A sample chosen by using a convenience method.

What is a sample frame?

• A method of selecting individuals randomly from the entire population.

• A subset of the population from which the sample is actually drawn.

• A method of dividing the population into clusters.

• A method of using a convenience sample.

What is sample variability?

• The consistency of results across different samples.

• The difference in results depending on which sample is used.

• The method of selecting individuals randomly from the entire population.

• The method of using a convenience sample.