Random Sampling - Bryan

Front

What is random sampling?

Back

Random sampling is a method of selecting a subset of individuals from a larger population, where each individual has an equal chance of being chosen.

Front

Why is random sampling important in surveys?

Back

Random sampling helps to ensure that the sample is representative of the population, reducing bias and allowing for more accurate conclusions.

Front

What does it mean for a sample to be biased?

Back

A biased sample is one that does not accurately represent the population, leading to skewed results.

Front

What is a representative sample?

Back

A representative sample accurately reflects the characteristics of the population from which it is drawn.

Front

What is the difference between a random sample and a convenience sample?

Back

A random sample is selected randomly from the population, while a convenience sample is chosen based on ease of access, which may lead to bias.

Front

What is stratified sampling?

Back

Stratified sampling involves dividing the population into subgroups (strata) and randomly sampling from each stratum to ensure representation.

Front

What is systematic sampling?

Back

Systematic sampling involves selecting every nth individual from a list or sequence, starting from a random point.

Front

What is the purpose of surveying a sample instead of the entire population?

Back

Surveying a sample is often more practical and cost-effective than surveying the entire population, while still providing useful insights.

Front

What is the role of sample size in random sampling?

Back

Larger sample sizes generally lead to more reliable results, as they reduce the margin of error and increase the likelihood of representing the population.

Front

What is a sampling frame?

Back

A sampling frame is a list or database from which a sample is drawn, representing the population.