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Define and explain the relationship between population, sample, representative sample, and sample bias.

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Answer:

Step-by-step explanation:

Representativeness: Refers to the extent to which the characteristics of the sample accurately reflect the characteristics of the population. Representative Sample: A sample with the same characteristics as the population. Biased Sample: A sample with different characteristics from those of the population.

User Aurora
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Answer:

Population refers to the entire group of individuals, objects, or events that a researcher wants to study.

A sample is a subset of the population that is selected for study.

A representative sample is a sample that accurately reflects the characteristics of the population it is drawn from. It is important to obtain a representative sample to ensure that the results of the study are generalizable to the entire population.Sample bias occurs when a sample is not representative of the population it is drawn from, which can lead to inaccurate or misleading results.

Sample bias can arise from a variety of factors, such as a biased sampling method, nonresponse bias, or self-selection bias. To minimize sample bias, researchers should use random or stratified sampling methods and attempt to obtain a high response rate from participants.

Step-by-step explanation:

User Pmjobin
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