Elementary survey sampling

Richard L. Scheaffer; William Mendenhall; Lyman Ott

ISBN 10: 0878721703 / ISBN 13: 9780878721702

Published by Duxbury Press, 1979

About this Item

A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.

Seller Inventory # OTV.0878721703.G

Bibliographic Details

• Title: Elementary survey sampling
• Publisher: Duxbury Press
• Publication Date: 1979
• Language: English
• ISBN 10: 0878721703
• ISBN 13: 9780878721702
• Binding: Hardcover
• Edition: 2nd Edition
• Condition: good

About this title

Synopsis

This is an introductory text on the design and analysis of sample surveys intended for students of business, the social sciences, or natural resource management. The only prerequisite is an elementary course in statistics. The numerous examples, with solutions, also make it suitable for use as a supplemental text for higher-level courses.

About the Author

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 past president of the American Statistical Association, a past chair of the Conference Board of the Mathematical Sciences, and an advisor on numerous statistics education projects.