Elementary Survey Sampling 7th Edition by Richard Scheaffer, William Mendenhall, Lyman Ott, Kenneth Gerow – Ebook PDF Instant Download/Delivery: 1133383297, 9781133383291
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ISBN 10: 1133383297
ISBN 13: 9781133383291
Author: Richard L. Scheaffer, III William Mendenhall, R. Lyman Ott, Kenneth G. Gerow
ELEMENTARY SURVEY SAMPLING introduces students to the design and analysis of sample surveys via a practical, engaging approach. First, this introductory text begins with brief chapters focused on the important role that sample surveys play in the modern world. Then, each successive chapter builds on this foundation. These chapters start with the problem, describe the methodology needed for solving the problem, and provide the details of the estimation procedure using a compact presentation of the necessary formulas. Each chapter then works out the practical example in full detail. Finally, at the end of each chapter, ELEMENTARY SURVEY SAMPLING includes a wealth of exercises that enable students to continue practicing and to stretch their grasp of the content. The text includes a complete package of interactive statistical tools for implementing all the calculations; text examples are built in to the tools.
Elementary Survey Sampling 7th Table of contents:
Chapter 1: Introduction
Chapter 2: Elements of the Sampling Problem
2.1 Introduction
2.2 Technical Terms
2.3 How to Select the Sample: The Design of the Sample Survey
2.4 Sources of Errors in Surveys
2.5 Designing a Questionnaire
2.6 Planning a Survey
2.7 Summary
Critical Thinking with Real Data
Chapter 3: Some Basic Concepts of Statistics
3.0 Tools
3.1 Introduction
3.2 Summarizing Information in Populations and Samples: The Infinite Population Case
3.3 Summarizing Information in Populations and Samples: The Finite Population Case
3.4 Sampling Distributions
3.5 Covariance and Correlation
3.6 Estimation
3.7 Summary
Chapter 4: Simple Random Sampling
4.0 Tools
4.1 Introduction
4.2 How to Draw a Simple Random Sample
4.3 Estimation of a Population Mean and Total
4.4 Selecting the Sample Size for Estimating Population Means and Totals
4.5 Estimation of a Population Proportion
4.6 Comparing Estimates
4.7 Summary
Sampling from Real Populations
A Sampling Activity—Random Rectangles
Chapter 5: Stratified Random Sampling
5.0 Tools
5.1 Introduction
5.2 How to Draw a Stratified Random Sample
5.3 Estimation of a Population Mean and Total
5.4 Selecting the Sample Size for Estimating Population Means and Totals
5.5 Allocation of the Sample
5.6 Estimation of a Population Proportion
5.7 Selecting the Sample Size and Allocating the Sample to Estimate Proportions
5.8 Additional Comments on Stratified Sampling
5.9 An Optimal Rule for Choosing Strata
5.10 Stratification after Selection of the Sample
5.11 Double Sampling for Stratification
5.12 Summary
Sampling from Real Populations
Chapter 6: Ratio, Regression, and Difference Estimation
6.0 Tools
6.1 Introduction
6.2 Surveys that Require the Use of Ratio Estimators
6.3 Ratio Estimation Using Simple Random Sampling
6.4 Selecting the Sample Size
6.5 Ratio Estimation in Stratified Random Sampling
6.6 Regression Estimation
6.7 Difference Estimation
6.8 Relative Efficiency of Estimators
6.9 Summary
Sampling from Real Populations
Chapter 7: Systematic Sampling
7.0 Tools
7.1 Introduction
7.2 How to Draw a Systematic Sample
7.3 Estimation of a Population Mean and Total
7.4 Estimation of a Population Proportion
7.5 Selecting the Sample Size
7.6 Repeated Systematic Sampling
7.7 Further Discussion of Variance Estimators
7.8 Summary
Sampling from Real Populations
Chapter 8: Cluster Sampling
8.0 Tools
8.1 Introduction
8.2 How to Draw a Cluster Sample
8.3 Estimation of a Population Mean and Total
8.4 Equal Cluster Sizes: Comparison to Simple Random Sampling
8.5 Selecting the Sample Size for Estimating Population Means and Totals
8.6 Estimation of a Population Proportion
8.7 Selecting the Sample Size for Estimating Proportions
8.8 Cluster Sampling Combined with Stratification
8.9 Cluster Sampling with Probabilities Proportional to Size
8.10 Summary
Sampling from Real Populations
Chapter 9: Two-Stage Cluster Sampling
9.0 Tools
9.1 Introduction
9.2 How to Draw a Two-Stage Cluster Sample
9.3 Unbiased Estimation of a Population Mean and Total
9.4 Ratio Estimation of a Population Mean
9.5 Estimation of a Population Proportion
9.6 Sampling Equal-Sized Clusters
9.7 Two-Stage Cluster Sampling with Probabilities Proportional to Size
9.8 Summary
Sampling with Real Populations
Chapter 10: Estimating the Population Size
10.0 Tools
10.1 Introduction
10.2 Estimation of a Population Size Using Direct Sampling
10.3 Estimation of a Population Size Using Inverse Sampling
10.4 Choosing Sample Sizes for Direct and Inverse Sampling
10.5 Estimating Population Density and Size from Quadrat Samples
10.6 Estimating Population Density and Size from Stocked Quadrats
10.7 Adaptive Sampling
10.8 Summary
Sampling from Real Populations
Chapter 11: Supplemental Topics
11.0 Tools
11.1 Introduction
11.2 Interpenetrating Subsamples
11.3 Estimation of Means and Totals over Subpopulations
11.4 Random-Response Model
11.5 Use of Weights in Sample Surveys
11.6 Adjusting for Nonresponse
11.7 Imputation
11.8 Selecting the Number of Callbacks
11.9 The Bootstrap
11.10 Summary
Sampling from Real Populations
Chapter 12: Summary
12.1 Summary of the Designs and Methods
12.2 Comparisons among the Designs and Methods
Appendix A: Bibliography, Tables, and Derivations
Bibliography
Tables
Derivation of Some Main Results
Appendix B: Macros for SAS
1 Introduction
2 Examples
3 Cluster Designs
4 Summary Statistics
5 Using Several Macros in One Program
Appendix C: Data Sets
Classsur: A Survey of Introductory Statistics Students
Cars93: A Survey of Popular Cars for 1993
Recycle: A Survey on Recycling Practices
Schools: A Summary of Students, Teachers, and Expenditures for the 2000–2001 School Year, by State
Temps: Monthly Normal Temperatures (T) and Precipitation (P) for U.S. Weather Stations*
River: Flow Rates for Crystal River, Florida
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Tags: Richard Scheaffer, William Mendenhall, Lyman Ott, Kenneth Gerow, Elementary