Sampling: Design and Analysis
By Sharon L. Lohr
About your course materials
Sharon L. Lohr's SAMPLING: DESIGN AND ANALYSIS, 2ND EDITION, provides a modern introduction to the field of survey sampling intended for a wide audience of statistics students. Practical and authoritative, the book is listed as a standard reference for training on real-world survey problems by a number of prominent surveying organizations. Lohr concentrates on the statistical aspects of taking and analyzing a sample, incorporating a multitude of applications from a variety of disciplines. The text gives guidance on how to tell when a sample is valid or not, and how to design and analyze many different forms of sample surveys. Recent research on theoretical and applied aspects of sampling is included, as well as optional technology instructions for using statistical software with survey data.
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About this product
Sharon L. Lohr's SAMPLING: DESIGN AND ANALYSIS, 2ND EDITION, provides a modern introduction to the field of survey sampling intended for a wide audience of statistics students. Practical and authoritative, the book is listed as a standard reference for training on real-world survey problems by a number of prominent surveying organizations. Lohr concentrates on the statistical aspects of taking and analyzing a sample, incorporating a multitude of applications from a variety of disciplines. The text gives guidance on how to tell when a sample is valid or not, and how to design and analyze many different forms of sample surveys. Recent research on theoretical and applied aspects of sampling is included, as well as optional technology instructions for using statistical software with survey data.
Varied, categorized exercises to build skills--Exercises, many of which are new, are categorized into four groups: A, Introductory Exercises, many suitable for hand calculations; B, Working with Survey Data, with most requiring use of statistical software; C, Working with Theory, ideal for more mathematically oriented classes; and D, Projects and Activities, with activities suitable either for classroom use or as assigned student projects.
Use of real data--As much as possible, examples and exercises come from social sciences, engineering, agriculture, medicine, and other disciplines.
Topic coverage not found in other texts at this level--The book discusses analysis of complex surveys, nonresponse, and other important topics. These optional sections allow instructors the flexibility to pick and choose the additional topics they want to include with the core course content.
Emphasis on the importance of graphing the data--This helps students avoid flawed data analysis.
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