TMU Library Logo
Library Catalogue

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: TextPublisher: Hoboken, NJ : Wiley, [2016]Copyright date: ©2016Edition: Evaluation/Desk editionDescription: xvi, 680 pages : black & white illustrations ; 28 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781118956670
  • 1118956672
  • 9781118172148 (looseleaf)
Subject(s): LOC classification:
  • HA29 .T56 2016
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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Cover image Item type Current library Home library Collection Shelving location Call number Materials specified Vol info URL Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Books TMU-LIBRARY HA29 .T56 2016 (Browse shelf(Opens below)) 8332 Available 2017/8332

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.

There are no comments on this title.

to post a comment.