FARE 4360 Chapter Notes - Chapter 7: Simple Random Sample, Telephone Directory, Cluster Sampling

• School: University of Guelph
• Department: Food, Agricultural and Resource Economics
• Course: FARE 4360
• Professor: Andreas Boecker

Document Summary

Fare*4360 marketing research final exam notes (boecker) Population: the entire group under study as specified by the research project. Sample: a subset of the population that should represent that entire group. Census: an accounting of everyone in the population. Sampling error: any error in a survey that occurs because a sample is used: caused by method of sample selection and the size of sample. Sample frame: master list of all members of the population. Sample frame error: exists for sample frames in the forms of mis-, over- or under- presentations of the true population. Accuracy of a sample: treat it as a plus-or-minus percentage value. Level of confidence: usually 95% level, z is 1. 96. Desired accuracy: how accurate you want your study to be (usually 95%) Random sample: one in which every member of the population has an equal chance, or probability, of being selected into that sample. Probability sampling methods: sample methods that use random sampling.