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Solution Manual for Elementary Survey Sampling, 7th Edition

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Solution Manual for Elementary Survey Sampling, 7th Edition

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ELEMENTARY SURVEY SAMPLING is an engaging and practical introduction to survey sampling. The book begins with real-world scenarios and uses easy-to-understand formulas, methodologies, and concepts to show how sample surveys are used in a wide variety of situations.

 

Table of Content:

  1. Chapter 1: Introduction
  2. Chapter 2: Elements of the Sampling Problem
  3. 2.1 Introduction
  4. 2.2 Technical Terms
  5. 2.3 How to Select the Sample: The Design of the Sample Survey
  6. 2.4 Sources of Errors in Surveys
  7. 2.5 Designing a Questionnaire
  8. 2.6 Planning a Survey
  9. 2.7 Summary
  10. Critical Thinking with Real Data
  11. Chapter 3: Some Basic Concepts of Statistics
  12. 3.0 Tools
  13. 3.1 Introduction
  14. 3.2 Summarizing Information in Populations and Samples: The Infinite Population Case
  15. 3.3 Summarizing Information in Populations and Samples: The Finite Population Case
  16. 3.4 Sampling Distributions
  17. 3.5 Covariance and Correlation
  18. 3.6 Estimation
  19. 3.7 Summary
  20. Chapter 4: Simple Random Sampling
  21. 4.0 Tools
  22. 4.1 Introduction
  23. 4.2 How to Draw a Simple Random Sample
  24. 4.3 Estimation of a Population Mean and Total
  25. 4.4 Selecting the Sample Size for Estimating Population Means and Totals
  26. 4.5 Estimation of a Population Proportion
  27. 4.6 Comparing Estimates
  28. 4.7 Summary
  29. Sampling from Real Populations
  30. A Sampling Activity—Random Rectangles
  31. Chapter 5: Stratified Random Sampling
  32. 5.0 Tools
  33. 5.1 Introduction
  34. 5.2 How to Draw a Stratified Random Sample
  35. 5.3 Estimation of a Population Mean and Total
  36. 5.4 Selecting the Sample Size for Estimating Population Means and Totals
  37. 5.5 Allocation of the Sample
  38. 5.6 Estimation of a Population Proportion
  39. 5.7 Selecting the Sample Size and Allocating the Sample to Estimate Proportions
  40. 5.8 Additional Comments on Stratified Sampling
  41. 5.9 An Optimal Rule for Choosing Strata
  42. 5.10 Stratification after Selection of the Sample
  43. 5.11 Double Sampling for Stratification
  44. 5.12 Summary
  45. Sampling from Real Populations
  46. Chapter 6: Ratio, Regression, and Difference Estimation
  47. 6.0 Tools
  48. 6.1 Introduction
  49. 6.2 Surveys that Require the Use of Ratio Estimators
  50. 6.3 Ratio Estimation Using Simple Random Sampling
  51. 6.4 Selecting the Sample Size
  52. 6.5 Ratio Estimation in Stratified Random Sampling
  53. 6.6 Regression Estimation
  54. 6.7 Difference Estimation
  55. 6.8 Relative Efficiency of Estimators
  56. 6.9 Summary
  57. Sampling from Real Populations
  58. Chapter 7: Systematic Sampling
  59. 7.0 Tools
  60. 7.1 Introduction
  61. 7.2 How to Draw a Systematic Sample
  62. 7.3 Estimation of a Population Mean and Total
  63. 7.4 Estimation of a Population Proportion
  64. 7.5 Selecting the Sample Size
  65. 7.6 Repeated Systematic Sampling
  66. 7.7 Further Discussion of Variance Estimators
  67. 7.8 Summary
  68. Sampling from Real Populations
  69. Chapter 8: Cluster Sampling
  70. 8.0 Tools
  71. 8.1 Introduction
  72. 8.2 How to Draw a Cluster Sample
  73. 8.3 Estimation of a Population Mean and Total
  74. 8.4 Equal Cluster Sizes: Comparison to Simple Random Sampling
  75. 8.5 Selecting the Sample Size for Estimating Population Means and Totals
  76. 8.6 Estimation of a Population Proportion
  77. 8.7 Selecting the Sample Size for Estimating Proportions
  78. 8.8 Cluster Sampling Combined with Stratification
  79. 8.9 Cluster Sampling with Probabilities Proportional to Size
  80. 8.10 Summary
  81. Sampling from Real Populations
  82. Chapter 9: Two-Stage Cluster Sampling
  83. 9.0 Tools
  84. 9.1 Introduction
  85. 9.2 How to Draw a Two-Stage Cluster Sample
  86. 9.3 Unbiased Estimation of a Population Mean and Total
  87. 9.4 Ratio Estimation of a Population Mean
  88. 9.5 Estimation of a Population Proportion
  89. 9.6 Sampling Equal-Sized Clusters
  90. 9.7 Two-Stage Cluster Sampling with Probabilities Proportional to Size
  91. 9.8 Summary
  92. Sampling with Real Populations
  93. Chapter 10: Estimating the Population Size
  94. 10.0 Tools
  95. 10.1 Introduction
  96. 10.2 Estimation of a Population Size Using Direct Sampling
  97. 10.3 Estimation of a Population Size Using Inverse Sampling
  98. 10.4 Choosing Sample Sizes for Direct and Inverse Sampling
  99. 10.5 Estimating Population Density and Size from Quadrat Samples
  100. 10.6 Estimating Population Density and Size from Stocked Quadrats
  101. 10.7 Adaptive Sampling
  102. 10.8 Summary
  103. Sampling from Real Populations
  104. Chapter 11: Supplemental Topics
  105. 11.0 Tools
  106. 11.1 Introduction
  107. 11.2 Interpenetrating Subsamples
  108. 11.3 Estimation of Means and Totals over Subpopulations
  109. 11.4 Random-Response Model
  110. 11.5 Use of Weights in Sample Surveys
  111. 11.6 Adjusting for Nonresponse
  112. 11.7 Imputation
  113. 11.8 Selecting the Number of Callbacks
  114. 11.9 The Bootstrap
  115. 11.10 Summary
  116. Sampling from Real Populations
  117. Chapter 12: Summary
  118. 12.1 Summary of the Designs and Methods
  119. 12.2 Comparisons among the Designs and Methods
  120. Appendix A: Bibliography, Tables, and Derivations
  121. Bibliography
  122. Tables
  123. Derivation of Some Main Results
  124. Appendix B: Macros for SAS
  125. 1 Introduction
  126. 2 Examples
  127. 3 Cluster Designs
  128. 4 Summary Statistics
  129. 5 Using Several Macros in One Program
  130. Appendix C: Data Sets
  131. Classsur: A Survey of Introductory Statistics Students
  132. Cars93: A Survey of Popular Cars for 1993
  133. Recycle: A Survey on Recycling Practices
  134. Schools: A Summary of Students, Teachers, and Expenditures for the 2000–2001 School Year, by State
  135. Temps: Monthly Normal Temperatures (T) and Precipitation (P) for U.S. Weather Stations*
  136. River: Flow Rates for Crystal River, Florida
  137. Selected Answers
  138. Index

 

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