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Introduction to statistical investigations / Nathan Tintle, Beth L. Chance, George W. Cobb, Allan J. Rossman, Soma Roy, Todd Swanson, Jill VanderStoep.

By: Contributor(s): Material type: TextTextEdition: Preliminary editionDescription: xv, 1296 pages : black & white illustrations ; 28 cmISBN:
  • 9781118956670
  • 1118956672
  • 9781118172148 (looseleaf)
Subject(s): LOC classification:
  • HA29 .T56 2015
Online resources:
Contents:
Preface -- Preliminaries: Introduction to statistical investigations. Introduction to the six-step method section ; Exploring data ; Exploring random processes -- Unit 1: Four pillars of inference : strength, size, breadth, and cause. Significance : how strong is the evidence? ; Generalization : how broadly do the results apply? ; Estimation : how large is the effect? ; Causation : can we say what caused the effect? -- Unit 2: Comparing two groups. Comparing two proportions ; Comparing two means ; Paired data : one quantitative variable -- Unit 3: Analyzing more general situations. Comparing more than two proportions ; Comparing more than two means ; Two quantitative variables -- Appendix: Calculation details -- Appendix: Stratified and cluster samples -- Answers: Answered to starred homework problems.
Item type: Book
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Holdings
Current library Collection Call number Copy number Status Barcode
Bishop Okullu Memorial Library (Limuru Campus) General Circulation Non-fiction HA29 .T56 2015 (Browse shelf(Opens below)) 1 Available 048176
Nairobi Campus General Circulation Non-fiction HA29 .T56 2015 (Browse shelf(Opens below)) 1 Available 049414
Total holds: 0

Includes index.

Preface -- Preliminaries: Introduction to statistical investigations. Introduction to the six-step method section ; Exploring data ; Exploring random processes -- Unit 1: Four pillars of inference : strength, size, breadth, and cause. Significance : how strong is the evidence? ; Generalization : how broadly do the results apply? ; Estimation : how large is the effect? ; Causation : can we say what caused the effect? -- Unit 2: Comparing two groups. Comparing two proportions ; Comparing two means ; Paired data : one quantitative variable -- Unit 3: Analyzing more general situations. Comparing more than two proportions ; Comparing more than two means ; Two quantitative variables -- Appendix: Calculation details -- Appendix: Stratified and cluster samples -- Answers: Answered to starred homework problems.

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