STAT151 Chapter Notes - Chapter 9-10: Simple Random Sample, Stratified Sampling
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STAT151 Full Course Notes
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Census - special sample that includes everyone and sample the entire population. Population parameters - a parameter that is part of a model for a population (often unknown) Sample statistic - summary that is found from data in a sample (known once data is observed) Random sampling methods: simple random samples (srs) Srs of size n - each sample of size n in the population has the same chance of being selected (e. g. draw names from a hat or random number tables) Samples drawn at random generally differ from one another (different numbers select different people for our sample) Sampling variability - sample-to-sample differences for the variables we measure. Example: a local school district decides to randomly test high school students for. There are 3 high schools in this district, each from grade 9-12. The school board pools all the students and randomly samples 250 students.