Stratified Sampling

In stratified sampling, what is the next step after dividing the population into strata?

• Choose a convenience sample from each stratum.

• Randomly select a sample from each stratum.

• Combine all strata and select a simple random sample.

• Select the largest stratum and only sample from it.

Which of the following best describes the difference between simple random sampling and stratified sampling?

• Simple random sampling divides the population into strata, while stratified sampling does not.

• Stratified sampling can only be used when the population size is known.

• Simple random sampling gives every individual an equal chance of being selected, whereas stratified sampling ensures representation from different subgroups.

• Stratified sampling is less time-consuming and more cost-effective than simple random sampling.

What is the main purpose of stratified sampling?

• To ensure that the sample is easy to collect.

• To ensure that specific groups within a population are represented.

• To select a sample randomly without any specific criteria.

• To reduce the cost of sampling.

What type of sampling is shown?

• Simple Random Sample

• Systematic Sample

• Cluster Sample

• Stratified Sample

What type of sampling is shown?

• Simple Random Sample

• Systematic Sample

• Cluster Sample

• Stratified Sample

What type of sampling is shown?

• Simple Random Sample

• Systematic Sample

• Cluster Sample

• Stratified Sample

What type of sampling is shown?

• Simple Random Sample

• Systematic Sample

• Cluster Sample

• Stratified Sample

How many boys should be selected from year 9?

(a)  

A stratified sample of 50 students is required from Year 7.

How many boys would there be in the sample?

(a)  

How many girls would there be in the sample?

(a)