Sampling Methods in Statistics

The video discusses four main sampling techniques: simple random sampling, stratified sampling, systematic sampling, and cluster sampling. Simple random sampling involves randomly selecting subjects from a population. Stratified sampling divides the population into groups and selects subjects from each group. Systematic sampling selects every kth subject from the population. Cluster sampling divides the population into clusters and selects entire clusters for the sample.

What is the main characteristic of a simple random sample?

• Subjects are selected from predefined groups.

• Subjects are selected randomly from the population.

• Subjects are selected based on their availability.

• Subjects are selected based on specific criteria.

In a simple random sample, how are subjects typically chosen?

• By selecting subjects from each stratum.

• By drawing names from a hat.

• By dividing the population into clusters.

• By selecting every nth subject.

What is the key feature of stratified sampling?

• The population is divided into clusters.

• The population is divided into strata based on similarities.

• Subjects are selected randomly from the entire population.

• Every kth subject is selected.

In stratified sampling, how are subjects chosen from each group?

• Subjects are selected based on their availability.

• Subjects are selected based on their preferences.

• Subjects are randomly selected from each group.

• All subjects from each group are selected.

What does 'k' represent in systematic sampling?

• The number of groups in the population.

• The number of subjects in each stratum.

• The total number of subjects in the sample.

• The interval at which subjects are selected.

How are subjects selected in systematic sampling?

• By selecting subjects from each cluster.

• By selecting subjects randomly from the population.

• By selecting subjects based on specific criteria.

• By selecting every kth subject.

What is a cluster in the context of cluster sampling?

• A group of similar individuals.

• A group of subjects selected based on criteria.

• A group of randomly selected subjects.

• A group of ill-defined groups.

In cluster sampling, how are subjects selected?

• Subjects are selected based on their availability.

• Entire clusters are randomly selected.

• Subjects are selected based on specific criteria.

• Subjects are selected from each stratum.

What is an example of a cluster in cluster sampling?

• A county within a state.

• A group of subjects selected based on age.

• A group of men and women.

• A group of randomly selected individuals.