Data Sampling Types

An independent research company wants to go door to door to survey people in the city. The company decides to number all blocks within the city limit, randomly choose 1 block and survey all households on that block.

This is an example of:

• Simple Random Sample

• Stratified Random Sample

• Cluster Random Sample

• Systematic Random Sampling

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

• Stratified Sampling

• Systematic Sampling

• Cluster Sampling

• Quota Sampling

A teacher wants to know how well her students are doing on a topic. She randomly picks one class to survey.

• Simple Random

• Cluster

• Stratified

• Systematic

You stop every fifth person coming out of the Apple store and ask what colour iPhone they purchased today. What is this an example of?

• Simple Random Sampling

• Systematic Sampling

• Convenience Sampling

• Stratified Sampling

• Quota Sampling

A student is choosing 10 companies to research out of the top 50 Fortune 500 companies. She does this by assigning a number to each of the 50 companies and using a random number generator to choose these 10. What is this an example of?

• Simple Random Sampling

• Systematic Sampling

• Convenience Sampling

• Quota Sampling

• Stratified Sampling

A student chooses to send a survey out to the G9-11 students at her school to collect data for her IA. What is this an example of?

• Simple Random Sampling

• Systematic Sampling

• Convenience Sampling

• Quota Sampling

• Stratified Sampling

A teacher chooses her "student of the week" by choosing a name out of a hat. What is this an example of?

• Simple Random Sampling

• Systematic Sampling

• Convenience Sampling

• Quota Sampling

• Stratified Sampling

The school wants feedback on the clubs that were offered this year. Since G11 makes up 25% of the student body, the school ensures that 25% of the survey responses come from G11.

• Simple Random Sampling

• Systematic Sampling

• Convenience Sampling

• Quota Sampling

• Stratified Sampling