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Textbook of parametric and non-parametric statistics / Vimala Veeraraghavan, Former Head, Department of Psychology, University of Delhi, Suhas Shetgovekar, Associate Professor, Discipline of Psychology, Indira Gandhi National Open University.

By: Contributor(s): Publisher: Los Angeles : SAGE / TEXTS, 2016Description: xxi, 332 (I-4) pages : illustration ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9789351507345 (pbk. : alk. paper)
Subject(s): DDC classification:
  • 519.54 VEE 23
LOC classification:
  • HA29 .V364 2016
Contents:
Preface Acknowledgements; About the authors; Introduction to statistics; Section A: Parametric statistics; Frequency distribution; Measures of central tendency; Measures of variability; Correlation, regression and prediction; Other methods of correlation; Significance of difference between means; Analysis of variance; Normal distribution; Psychological test construction; Reliability, validity, standardization and norms; Factor analysis; Section B: Non-parametric statistics; One sample and two related sample tests; Non-parametric analysis of two independent samples; Non-parametric tests for K-related samples; Non-parametric tests for K-independent samples; Measures of correlation and associated tests; Computer application in statistics: statistical package for social sciences (SPSS); Exercises; Answers to exercises; Appendix: Statistical value tables; Bibliography; Index
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Item type Current library Shelving location Call number Status Date due Barcode
BOOKs BOOKs National Law School NAB Compactor 519.54 VEE (Browse shelf(Opens below)) Available 35653

Includes bibliographical references and index.

Preface
Acknowledgements;
About the authors;
Introduction to statistics;
Section A: Parametric statistics;
Frequency distribution;
Measures of central tendency;
Measures of variability;
Correlation, regression and prediction;
Other methods of correlation;
Significance of difference between means;
Analysis of variance;
Normal distribution;
Psychological test construction;
Reliability, validity, standardization and norms;
Factor analysis;
Section B: Non-parametric statistics;
One sample and two related sample tests;
Non-parametric analysis of two independent samples;
Non-parametric tests for K-related samples;
Non-parametric tests for K-independent samples;
Measures of correlation and associated tests;
Computer application in statistics: statistical package for social sciences (SPSS);
Exercises;
Answers to exercises;
Appendix: Statistical value tables;
Bibliography;
Index

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