MKT 500 Chapter Notes - Chapter 9: Simple Random Sample, Sample Size Determination, Sampling Error

• School: Ryerson University
• Department: Marketing
• Course: MKT 500
• Professor: Helene Moore

Document Summary

Sample: subset of the population that would represent the entire group. Population: entire group under study as specified by the research project. Census: defined as an accounting of everyone in the population. Sampling error: the method of sample selection, the size of the sample. Sample frame: master list of all members of the population. How to calculate sample size page 296 for formula. Sample size adjustment formula: adjusted sample size = calculated sample size * (1/incidence rate %) * (1/response rate %) Sometimes sample size must be adjusted because of time pressure, cost constraint, study objectives, and data analysis procedures. Probability sampling: simple random sampling: random digit dialling, table of random numbers, etc. Probability of selection = sample size/population size: systematic sampling: skip interval every third person for example. Skip interval = population list size/sample size: cluster sampling: population is divided in similar groups researcher can select few clusters or draw samples from each cluster.