UT Knoxville STAT 201 - Chapter 12 (33 pages)
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Chapter 12
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- Pages:
- 33
- School:
- University of Tennessee
- Course:
- Stat 201 - Introduction to Statistics
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Unformatted text preview:
Chapter 12 Sample Surveys Chapter12 Presentation 1213 Copyright 2009 Pearson Education Inc 1 Sampling Outline 1 Understand a Population i e all the units of interest 2 Sampling Biases 3 Randomized Samples Chapter12 Presentation 1213 Copyright 2009 Pearson Education Inc 2 Populations The concept of a population is key to this entire course Having a well defined population helps researchers select better samples When doing statistics we typically want to understand certain aspects of a population Examples Cholesterol level of Male Native Americans Income of Banking Executives GPA of UT students that own laptops Chapter12 Presentation 1213 Copyright 2009 Pearson Education Inc 3 The Population We want to learn details about the population We summarize this by saying that we want to learn about a population parameter A population parameter can be a Chapter12 Presentation 1213 Mean Variance Percentile Percent or some other function of the population distribution Copyright 2009 Pearson Education Inc 4 The Sample To learn about the population parameters we usually take a sample Given the data from a sample we can compute sample statistics Chapter12 Presentation 1213 Copyright 2009 Pearson Education Inc 5 Notation We typically use Greek letters to denote parameters and Latin letters to denote statistics Chapter12 Presentation 1213 Copyright 2009 Pearson Education Inc 6 How Large of a Sample How large a random sample do we need for the sample to be reasonably representative of the population It s the size of the sample not the size of the population that makes the difference in sampling Chapter12 Presentation 1213 Copyright 2009 Pearson Education Inc 7 How Large of a Sample Cont To estimate the proportion of the population in Knox County that approves of Obama s health care plan with a margin of error of 3 we need a sample slightly bigger than 1000 To estimate the proportion of the population in the U S that approves of Obama s health care plan with a margin of error of 3 we
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