Stat 201 Fall 09 Ch 12 Sample Surveys 1. Key Terms Population- Parameters Sample Statistic- Representative Sample- Voluntary Response Sample- Convenience Sample- Sampling Bias- Sampling Frame- Undercoverage bias- Nonresponse bias- 2. Sampling Designs - what are the features of each. systematic sample - simple random sample - strati ed sample - cluster sample - Multistage cluster sampling - 1 3. Example 1. Flu outbreak example. Population - Parameter - Sampling Frame - Sample Type Biases - 4. Example 2. A study in UT?s college of veterinary medicine tried exam- ined prevalence of staph infections in animals from knox county. For each animal presenting at the hospital with an infection, they collected information on the pets home zip-code in Knox County. The goal was to identify whether certain zip-codes had higher than average incidences (disease clusters). It was later revealed that it was not known whether patients were infected before or after they arrived at the hospital. What is the population? The parameter of interest? The type of sample? What type/types of bias or sampling error is this? conv/undercov 5. Example 3. Civilian War Casulty Example Population - Parameter - Sampling Frame - Sample Type Biases - 2
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