Question

How can we choose a sample that fairly represents the population? Convenience samples and voluntary response samples are common but do not produce trustworthy data. These sampling methods are usually biased. That is, they systematically favor some parts of the population over others in choosing the sample.

Answer 1

To choose a fair sample that represents the population, random sampling methods such as simple random sampling, stratified sampling, cluster sampling, and systematic sampling should be used.

Step-by-step explanation:

In order to choose a sample that fairly represents the population, it is important to use random sampling methods. Random samples are representative groups chosen in a way that gives each individual in the population an equal chance of being included in the sample.

Some common random sampling methods include simple random sampling, stratified sampling, cluster sampling, and systematic sampling.

These methods help to ensure that the sample is not biased and reflects the characteristics of the population.