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Statistical Methods for The Information Professional : A Practical, Painless Approach to Understanding, Using, and Interpreting Statistics / Liwen Vaughan.

By: Material type: TextTextLanguage: English Publication details: Medford, N.J. : Published for the American Society for Information Science and Technology by Information Today, 2001.; New Delhi : Ess Publications, 2009.Description: xxi, 209p. : ill. ; 24 cmISBN:
  • 9788170005520
Subject(s): DDC classification:
  • 22 020.72 VAU
Contents:
List of Figures--List of Tables-- Preface- Acknowledgment CHAPTER 1: Getting Started--Recognizing the Types of Data CHAPTER 2: Avoiding Manual calculations and Formula Manipulation---Using Software CHAPTER 3: First Look---Using Graphs to See the Characteristics of Data CHAPTER 4: Summarizing Messy Data into Neet Figures CHAPTER 5: What Is Statically Significant?--Basic Concepts of Inferential Statistics CHAPTER 6: How to Collect Data ---Sampling Methods CHAPTER 7: Examining Relationships for Nominal and Ordinal Data---Chi-square Test CHAPTER 8: Examining Relationships for Interval and Ratio data--Correlation and Regression CHAPTER 9: Are Two Samples Significantly Different?--T-Test CHAPTER 10: Are Three or More Samples Significantly Different?---c Analysis of Variance CHAPTER 11: When Data Do Not Behave --Using Nonparametric Tests CHAPTER 12: When Should I Use Which Test?--A Road Map CHAPTER 13: Getting Sophisticated --- A Taste of Some Advanced Statistical Methods APPENDICES BIBLIOGRAPHY ABOUT THE AUTHOR INDEX
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Holdings
Item type Current library Collection Call number Status Date due Barcode
General Books General Books CUTN Central Library Generalia Non-fiction 519.5 VAU (Browse shelf(Opens below)) Available 43174

In Association with ASIS&T Monograph Series.

List of Figures--List of Tables-- Preface- Acknowledgment CHAPTER 1: Getting Started--Recognizing the Types of Data CHAPTER 2: Avoiding Manual calculations and Formula Manipulation---Using Software CHAPTER 3: First Look---Using Graphs to See the Characteristics of Data CHAPTER 4: Summarizing Messy Data into Neet Figures CHAPTER 5: What Is Statically Significant?--Basic Concepts of Inferential Statistics CHAPTER 6: How to Collect Data ---Sampling Methods CHAPTER 7: Examining Relationships for Nominal and Ordinal Data---Chi-square Test CHAPTER 8: Examining Relationships for Interval and Ratio data--Correlation and Regression CHAPTER 9: Are Two Samples Significantly Different?--T-Test CHAPTER 10: Are Three or More Samples Significantly Different?---c Analysis of Variance CHAPTER 11: When Data Do Not Behave --Using Nonparametric Tests CHAPTER 12: When Should I Use Which Test?--A Road Map CHAPTER 13: Getting Sophisticated --- A Taste of Some Advanced Statistical Methods APPENDICES BIBLIOGRAPHY ABOUT THE AUTHOR INDEX

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