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

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

Document Summary

Three ideas of sampling: draw a sample. Samples that over- or underemphasize some characteristics of the population: biased a. we should select sample at random: randomize difference between the sample and population values is considered as sampling error or sampling variability. How large a random sample do we need for the sample to be reasonably representative of the population? sample size matters - regardless of the population size. ** important! parameter & statistic if the sample estimate the corresponding parameters accurately, the sample is representative. Homework question: researcher went to car dealer and ask every 20th people if they care about environment. The population is people not people who go to dealers! people who go to dealers is the sampling frame. sample is the everything 20th people! population parameter of interest. Collected in the most convenient manner for the researcher (ask whoever is around)