0
Still curious? Ask our experts.
Chat with our AI personalities
Ezra
Beau
RafaAdd your answer:
Earn +20 pts
What is the difference between Sampling error vs sampling bias?
Sampling error leads to random error. Sampling bias leads to systematic error.
What are the Advantage and disadvantage of purposive sampling?
Purposive sampling involves selecting participants for a study based on some characteristic that you know they have. There is nothing random about their selection - it was done with intent. An advantage of this type of sampling is that it allows the researcher to quickly hone in on the target population. A disadvantage to this form of sampling is that researcher bias can creep in to influence results, if subjects are not chosen very carefully.
What is the difference between the sample mean and the population mean known as?
Sampling bias.
Sampling error refers to?
Sampling error occurs when the sampling protocol does not produce a representative sample. It may be that the sampling technique over represented a certain portion of the population, causing sample bias in the final study population.
What is the purpose of random sampling in a poll?
Random sampling ensures that a bias in the sampled subjects is avoided. It allows for a diverse and fairly chosen sample of the intended population.
