Annotated Bibliography
Works Cited Banerjee, Amitav, and Suprakash Chaudhury. "Statistics Without Tears: Populations and Samples." National Center for Biotechnology Information . Industrial Psychiatry Journal, 2017. Web. 5 Nov. 2017. Statistical studies are usually conducted using part of an entire population, called a sample. Then, generalizations are made about the population as a whole based on the conclusions of the study. Having a random sample ensures that there is less bias and makes the study more trustworthy. A population can be based off of anything, so long as everything within it fit what is being studied and has a common thread. If the study has to do with a change in the population, it is necessary to have a control group. A control group is part of the sample that does not receive any manipulation, so that the effects are more apparent in the experimental group. The bigger the sample size, the lower the potential for error and the higher the chance of having a successful study. ...