Elementary Survey Sampling

Name: Elementary Survey Sampling
Price: 10.45 USD
Availability: InStock
ISBN: 9780534418052

ISBN-10: 0534418058

ISBN-13: 9780534418052

Edition: 6th 2006

Authors: R. Lyman Ott, Richard L. Scheaffer, William Mendenhall, William Mendenhall

List price: $376.95

30 day, 100% satisfaction guarantee!

Sell

Get cash fast!

Marketplace

2 new & used from $10.45

what's this?

Rush Rewards U
Members Receive:

You have reached 400 XP and carrot coins. That is the daily max!

This introductory text on the design and analysis of sample surveys emphasizes the practical aspects of survey problems. It begins with brief chapters on the role of sample surveys in the modern world. Thereafter, each chapter introduces a sample survey design or estimation procedure by describing the pertinent practical problem. The authors describe the methodology proposed for solving the problem and provide the details of the estimation procedure, including a compact presentation of the formulas needed to complete the analysis. Then, a practical example is worked out in complete detail. At the end of each chapter, a wealth of exercises gives students ample opportunity to practice the…

Book details

List price: $376.95
Edition: 6th
Copyright year: 2006
Publisher: Brooks/Cole
Publication date: 1/27/2005
Binding: Hardcover
Pages: 486
Size: 7.50" wide x 9.25" long x 1.25" tall
Weight: 1.980
Language: English

Richard L. Scheaffer, Professor Emeritus of Statistics, University of Florida, received his Ph.D. in statistics from Florida State University. Accompanying a career of teaching, research and administration, Dr. Scheaffer has led efforts on the improvement of statistics education throughout the school and college curriculum. Co-author of five textbooks, he was one of the developers of the Quantitative Literacy Project that formed the basis of the data analysis strand in the curriculum standards of the National Council of Teachers of Mathematics. He also led the task force that developed the AP Statistics Program, for which he served as Chief Faculty Consultant. Dr. Scheaffer is a Fellow and…




Introduction



Elements Of The Sampling Problem


Introduction


Technical Terms


How to Select the Sample: The Design of the Sample Survey


Sources of Errors in Surveys


Designing a Questionnaire


Planning a Survey


Summary



Some Basic Concepts Of Statistics


Introduction


Summarizing Information in Populations and Samples: The Infinite Population Case


Summarizing Information in Populations and Samples: The Finite Population Case


Sampling Distributions


Covariance and Correlation


Estimation


Summary



Simple Random Sampling


Introduction


How to Draw a Simple Random Sample


Estimation of a Population Mean and Total


Selecting the Sample Size for Estimating Population Means and Totals


Estimation of a Population Proportion


Comparing Estimates


Summary



Stratified Random Sampling


Introduction


How to Draw a Stratified Random Sample


Estimation of a Population Mean and Total


Selecting the Sample Size for Estimating Population Means and Totals


Allocation of the Sample


Estimation of a Population Proportion


Selecting the Sample Size and Allocating the Sample to Estimate Proportions


Additional Comments on Stratified Sampling


An Optimal Rule for Choosing Strata


Stratification after Selection of the Sample


Double Sampling for Stratification


Summary



Ratio, Regression, And Difference Estimation


Introduction


Surveys that Require the Use of Ratio Estimators


Ratio Estimation Using Simple Random Sampling


Selecting the Sample Size


Ratio Estimation in Stratified Random Sampling


Regression Estimation


Difference Estimation


Relative Efficiency of Estimators


Summary



Systematic Sampling


Introduction


How to Draw a Systematic Sample


Estimation of a Population Mean and Total


Estimation of a Population Proportion


Selecting the Sample Size


Repeated Systematic Sampling


Further Discussion of Variance Estimators


Summary



Cluster Sampling


Introduction


How to Draw a Cluster Sample


Estimation of a Population Mean and Total


Equal Cluster Sizes; Comparison to Simple Random Sampling


Selecting the Sample Size for Estimating Population Means and Totals


Estimation of a Population Proportion


Selecting the Sample Size for Estimating Proportions


Cluster Sampling Combined with Stratification


Cluster Sampling with Probabilities Proportional to Size


Summary



Two-Stage Cluster Sampling


Introduction


How to Draw a Two-Stage Cluster Sample


Unbiased Estimation of a Population Mean and Total


Ratio Estimation of a Population Mean


Estimation of a Population Proportion


Sampling Equal-Sized Clusters


Two-Stage Cluster Sampling with Probabilities Proportional to Size


Summary



Estimating The Population Size


Introduction


Estimation of a Population Size Using Direct Sampling


Estimation of a Population Size Using Inverse Sampling


Choosing Sample Sizes for Direct and Inverse Sampling


Estimating Population Density and Size from Quadrat Samples


Estimating Population Density and Size from Stocked Quadrats


Adaptive Sampling


Summary



Supplemental Topics


Introduction


Interpenetrating Subsamples


Estimation of Means and Totals over Subpopulations


Random-Response Model


Use of Weights in Sample Surveys


Adjusting for Nonresponse


Imputation


Selecting the Number of Callbacks


The Bootstrap


Summary



Summary


Summary of the Designs and Methods


Comparisons among the Designs and Methods


Appenidices


References and Bibliography Tables


Derivation of Some Main Results


Macros for MINITAB


Macros for SAS


Data Sets


Selected Answers


Index