Sampling Methods and Stratified Sampling

It can sometimes fail to achieve its intended goal.

It is the most expensive sampling method.

It is the only method used in research.

It always provides equal representation.

It is the number of days in a week.

It is the average number of samples needed.

It represents the number of justices in the U.S. Supreme Court.

It is the number of students in a classroom.

To facilitate random selection.

To track their attendance.

To identify their academic performance.

To determine their age group.

100%

75%

51%

25%

The sampling method is flawed.

Equal representation is guaranteed.

There is a high chance of unequal representation.

The sample size is too small.

To simplify the sampling process.

To reduce the cost of sampling.

To ensure equal representation of subgroups.

To increase the sample size.

Layers

Strata

Segments

Divisions

To increase the sample size.

To simplify data analysis.

To reduce the number of samples needed.

To ensure the sample is diverse.

By selecting students randomly without any criteria.

By ensuring the sample reflects the gender distribution of the school.

By selecting students based on their age.

By choosing only the top-performing students.

It reduces the accuracy of results.

It may not perfectly reflect subgroup proportions.

It increases the cost of sampling.

It complicates the sampling process.