BMGT 230 Chapter Notes - Chapter 3: Response Bias, Sampling Frame, Statistical Parameter

• School: University of Maryland
• Department: Business and Management
• Course: BMGT 230
• Professor: Lazar

Document Summary

We want to learn about an entire population of individuals, but examining all of them is not feasible, so we examine a smaller group of individuals (sample) Sample- a smaller group of individuals selected from the population. Sample survey- designed to ask questions of a small group of people in hope of learning something about the entire population. Selecting a sample to represent the population fairly is easy in theory, but more difficult in practice part of the population. Polls and surveys often fail because the sample fails to represent. Biased- samples that over- or underemphasize some characteristics of the population. The summary characteristics of a sample differ from the corresponding characteristics of the population it is trying to represent. Conclusion based on biased samples are inherently flawed. No way to fix bias after the sample is drawn. No way to salvage useful information from it.