MGCR 271 Chapter Notes - Chapter 3: Simple Random Sample, Randomized Experiment, Dependent And Independent Variables

• School: McGill University
• Department: Management Core
• Course: MGCR 271
• Professor: Glenn Zabowski

Document Summary

Designs for producing data are essential parts of statistics in practice. Random sampling and randomized comparative experiments are perhaps the most important statistical inventions of the twentieth century. Both were slow to gain acceptance, and you will still see many voluntary response samples and uncontrolled experiments. The deliberate use of chance in producing data is a central idea in statistics. It allows use of the laws of probability to analyze data. Recognize bias due to voluntary response samples and other inferior sampling methods. Use software to select a simple random sample (srs) from a population. Recognize the presence of undercoverage and nonresponse as sources of error in a sample survey. Recognize the effect of the wording of questions on the responses. Use random digits to select strati ed ra(cid:374)do(cid:373) sa(cid:373)ple fro(cid:373) a populatio(cid:374) (cid:449)he(cid:374) strata ide(cid:374)ti ed. Recognize whether a study is an observational study or an experiment.