Marianne wanted to know students' opinion on the new schedule at school. She survey's the first 30 students who come into her class.

• Convenience Sampling

• Systematic Random Sampling

• Simple Random Sampling

• Volunteer response

A teacher splits her classes up by period. She then randomly picks 3 students from each period to do a survey.

• Stratified.

• Systematic

• Cluster

• Biased.

A ___ is a large group that includes everything being studied.

• Sample
• Stratified Sampling Method
• Population
• Voluntary-Response

Assign each car in a dealership a number and then use a random-number table to select the cars to be inspected. 

• systematic
• random sample
• convenience
• volunteer response

Marianne wanted to know students' opinion on the new schedule at school. She places all students' names in a container and picks out 20 to survey. 

• Convenience Sampling
• Systematic Sampling
• Random Sampling
• Volunteer response

Why do we randomly select our samples?

• for control
• reduce bias
• so we don't get the same answers from everyone
• to eliminate confounding results

Which of the following is TRUE?

• In a multi-stage random sample, all individuals and all subsets of the sample size have an equal chance of being selected.
• In a stratified random sample, all individuals and all subsets of the sample size have an equal chance of being selected.
• In a cluster random sample, all individuals and all subsets of the sample size have an equal chance of being selected.
• In a simple random sample, all individuals and all subsets of the sample size have an equal chance of being selected.

A ___ is a small portion of the population used to gather data from.

• Systematic Sampling Method
• Sample
• Population
• Bias

Which study would be best suited to using stratified random sampling?

• Relationship between climate change and bee activity

• Perception of politics across social class

• Perception of Arts education among schoolchildren

• Living standards among engineers

What is the main advantage of convenience sampling?

• Low chance of bias

• Can quickly find experts

• High Representativeness

• Easy to get sample