Random Sampling

Front

What is random sampling?

Back

Random sampling is a technique used to select a subset of individuals from a larger population, where each individual has an equal chance of being chosen.

Front

Why is it important for a sample to be representative?

Back

A representative sample accurately reflects the characteristics of the larger population, allowing for valid conclusions to be drawn from the data.

Front

What is a biased sample?

Back

A biased sample is one that does not accurately represent the population, often due to the method of selection.

Front

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

Back

A random sample is selected using a method that gives all individuals an equal chance of being chosen, while a convenience sample is selected based on ease of access.

Front

What is stratified sampling?

Back

Stratified sampling involves dividing the population into subgroups (strata) and randomly selecting samples from each stratum.

Front

What is the purpose of using random sampling in surveys?

Back

The purpose is to minimize bias and ensure that the sample reflects the diversity of the population.

Front

What does it mean if a sample is too small?

Back

A sample that is too small may not accurately represent the population, leading to unreliable results.

Front

How can you determine if a sample is random?

Back

A sample is random if every individual in the population had an equal chance of being selected, often verified through random selection methods.

Front

What is systematic sampling?

Back

Systematic sampling involves selecting every nth individual from a list of the population.

Front

What is the significance of sample size in random sampling?

Back

Larger sample sizes generally lead to more reliable and valid results, reducing the margin of error.