Sampling Methods and Characteristics

This video tutorial provides an overview of various sampling methods used in surveys and polls. It explains the importance of identifying the population and selecting an appropriate sampling method to avoid bias. The tutorial covers random sampling, simple random sampling, stratified sampling, quota sampling, cluster sampling, systematic sampling, convenience sampling, and voluntary response sampling, highlighting their characteristics and examples. The goal is to help viewers understand how to choose the right sampling method to ensure accurate and unbiased survey results.

What is the first step before conducting a survey?

• Avoid sampling bias

• Select a sampling method

• Calculate sampling variability

• Identify the population

What is a key characteristic of a random sample?

• Members are chosen based on convenience

• Each member has an equal probability of being chosen

• Only specific members are chosen

• Each member has a different probability of being chosen

How does a simple random sample differ from a random sample?

• It is biased

• It uses convenience sampling

• It selects a sample size of N

• It selects individual members

In stratified sampling, how are samples taken?

• From randomly selected clusters

• From the entire population

• From each subgroup proportionally

• From every Nth member

What is the main difference between stratified sampling and quota sampling?

• Quota sampling stops when a quota is met

• Stratified sampling stops when a quota is met

• Quota sampling is more random

• Stratified sampling is less structured

In cluster sampling, what is selected to be in the sample?

• Individual members

• Entire clusters

• Volunteers

• Every Nth member

What is a potential drawback of systematic sampling?

• It is too expensive

• It may not be random enough

• It requires a large sample size

• It is too random

What is a characteristic of convenience sampling?

• It is highly accurate

• It requires a large sample size

• It is quick and cheap

• It is unbiased

Why might voluntary response samples be skewed?

• They include only random members

• They include only volunteers

• They require a large sample size

• They are too expensive

Which sampling method involves allowing participants to choose themselves?

• Cluster sampling

• Voluntary response sampling

• Systematic sampling

• Random sampling