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 random sampling important?

Back

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

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 randomly from the population, while a convenience sample is selected based on ease of access.

Front

What is stratified sampling?

Back

Stratified sampling is a method where the population is divided into subgroups (strata) and random samples are taken from each stratum.

Front

What is the purpose of surveying a random sample?

Back

The purpose is to gather data that can be generalized to the larger population.

Front

What does it mean to have a representative sample?

Back

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

Front

What is the margin of error in a survey?

Back

The margin of error is a statistic that expresses the amount of random sampling error in a survey's results.

Front

How can you determine if a sample is random?

Back

A sample is random if every individual in the population has an equal chance of being selected.

Front

What is systematic sampling?

Back

Systematic sampling is a method where you select every nth individual from a list or sequence.