Sampling Methods in Statistics

The video tutorial by Kaz Academy covers various random sampling methods, including simple random sampling, stratified random sampling, cluster random sampling, systematic random sampling, and convenience sampling. Each method is explained with definitions and examples, highlighting their applications and limitations. The tutorial emphasizes the importance of choosing the appropriate sampling method based on the research context and resources available.

What is the main advantage of simple random sampling?

• It requires the least amount of time to conduct.

• Every member of the population has an equal chance of being selected.

• It ensures that all subgroups are represented.

• It is the most cost-effective method.

In stratified random sampling, how is the population divided?

• Into random clusters.

• Into groups of ten.

• Into equal-sized groups.

• Into strata based on specific characteristics.

What is a key benefit of using stratified random sampling?

• It is the fastest method.

• It requires no prior knowledge of the population.

• It is the least expensive method.

• It ensures that all subgroups are represented.

How does cluster random sampling differ from stratified random sampling?

• Clusters are selected randomly, while strata are not.

• The entire cluster is used, while only a sample from each stratum is used.

• Clusters are based on geographic location, while strata are not.

• Clusters are always larger than strata.

What is a common use case for cluster random sampling?

• When the population is homogeneous.

• When the population is too large to handle individually.

• When the population is divided into natural groups.

• When the population is constantly changing.

In systematic random sampling, what does 'nth' refer to?

• The total number of items in the population.

• The interval at which samples are selected.

• The number of groups in the population.

• The number of samples to be taken.

Which of the following is an example of systematic random sampling?

• Selecting every 10th person leaving a store.

• Dividing a population into age groups and sampling each group.

• Choosing a random group of people from a list.

• Surveying people who volunteer to participate.

What is a major drawback of convenience sampling?

• It is the most expensive method.

• It does not provide a representative sample of the population.

• It requires a lot of time to conduct.

• It is difficult to implement.

Why is convenience sampling often used despite its drawbacks?

• It is the easiest and least costly method.

• It ensures all subgroups are represented.

• It is the most accurate method.

• It provides the most comprehensive data.

Which sampling method involves using readily available results?

• Convenience sampling

• Stratified random sampling

• Simple random sampling

• Cluster random sampling