MKT 473 Lecture Notes - Lecture 7: Non-Sampling Error, Coca-Cola, Observational Error
Document Summary
Survey research error: random error or random sampling error: It is the difference between the sample and the population: chance variation, the difference between the sample value and the true value for the population mean. There will always be random error because there is no way to eliminate it, however it is minimal if the sample size is sufficient: systematic error on bias: Error that results from problems or flaws in the execution of the research design. All errors except those from random sampling. There are 2 types: sample design error, measurement error. Sample design error: sample design error: systematic error that results from an error in the sample design or sampling procedures, frame error: Using incomplete or inaccurate sample frame: population specific error: Defining the population incorrectly at the start of the process: selection error: Sampling procedures are incomplete, improper, or not fully followed.
