STATS - Sampling ( 6)

What is Probability Sampling?

Everyone has a chance/proability to be included in the sample.

Give an example of Probability Sampling.

Randomly pick 5 students from a class of 30.

What is Random Sampling?

A sampling method where everyone has an equal chance of being selected.

What is Simple Random Sampling?

A method where everyone has an equal chance, such as picking names from a hat.

Provide an example of Simple Random Sampling.

Putting all students' names in a hat and picking 5 randomly.

What is Systematic Sampling?

A method where you pick every nth person from a list.

Give an example of Systematic Sampling.

Picking every 5th student from a list of 30 students.

What is Stratified Sampling?

Splitting the population into smaller groups and picking from each group.

Provide an example of Stratified Sampling.

Dividing students by gender and randomly picking 3 from each group.

What is Proportionate Sampling?

Picking people in proportion to the size of their group.

Give an example of Proportionate Sampling.

If 70% of the class is female, pick 70% from the female students.

What is Disproportionate Sampling?

Picking more from certain groups to compare them.

Provide an example of Disproportionate Sampling.

Selecting 50% of your sample from male students, even if they are 10% of the class.

What is Area/Cluster Sampling?

Choosing large areas, then smaller subsets, and finally people from those subsets.

Give an example of Area/Cluster Sampling.

Randomly selecting 3 states, then 2 cities from each, and 5 students from each city.

How does Stratified Sampling differ from Random Sampling?

Stratified Sampling divides into groups before sampling, while Random Sampling treats all equally.

What is the main goal of using Stratified Sampling?

To ensure representation from different groups within the population.

What is the significance of Random Sampling in research?

It minimizes bias and ensures that the sample represents the population.

Why might a researcher choose Disproportionate Sampling?

To conduct a more detailed comparison between groups.

In what scenario would you use Systematic Sampling?

When you have a large population and a list to systematically select participants.

What is the primary advantage of Cluster Sampling?

It is often more practical and cost-effective for large populations.