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Statistics explained / Perry R. Hinton.

By: Hinton, Perry R. (Perry Roy), 1954- [author.].
Material type: materialTypeLabelBookPublisher: Hove, East Sussex : Routledge, 2014Edition: Third edition.Description: xvii, 357 pages : illustrations ; 25 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781848723115 (hbk.); 9781848723122 (pbk.).Subject(s): PsychometricsDDC classification: 519.5
Contents:
Introduction -- Descriptive statistics -- Standard scores -- Introduction to hypothesis testing -- Sampling -- Hypothesis testing with one sample -- Selecting samples for comparison -- Hypothesis testing with two samples -- Significance, error and power -- Samples and statistical inference -- Introduction to the analysis of variance -- One factor independent ANOVA -- Multiple comparisons -- One factor repeated measures ANOVA -- The interaction of factors in the analysis of variance -- The two factor ANOVA -- Two sample nonparametric analysis -- One factor ANOVA for ranked data -- Analysing frequency data : chi-square -- Linear correlation and regression -- Multiple correlation and regression -- Complex analyses -- An introduction to the general linear model -- Postscript.
Holdings
Item type Current library Call number Copy number Status Date due Barcode
General lending MTU Bishopstown Library Lending 519.5 (Browse shelf(Opens below)) 1 Available 00163841
General lending MTU Bishopstown Library Lending 519.5 (Browse shelf(Opens below)) 1 Checked out 30/10/2026 00135111
General lending MTU Bishopstown Library Lending 519.5 (Browse shelf(Opens below)) 1 Available 00135110
Total holds: 0

Enhanced descriptions from Syndetics:

Statistics Explained is an accessible introduction to statistical concepts and ideas. It makes few assumptions about the reader's statistical knowledge, carefully explaining each step of the analysis and the logic behind it. The book:

provides a clear explanation of statistical analysis and the key statistical tests employed in analysing research data gives accessible explanations of how and why statistical tests are used includes a wide range of practical, easy-to-understand worked examples.

Building on the international success of earlier editions, this fully updated revision includes developments in statistical analysis, with new sections explaining concepts such as bootstrapping and structural equation modelling. A new chapter - 'Samples and Statistical Inference' - explains how data can be analysed in detail to examine its suitability for certain statistical tests.

The friendly and straightforward style of the text makes it accessible to all those new to statistics, as well as more experienced students requiring a concise guide. It is suitable for students and new researchers in disciplines including Psychology, Education, Sociology, Sports Science, Nursing, Communication, and Media and Business Studies.

Presented in full colour and with an updated, reader-friendly layout, this new edition also comes with a companion website featuring supplementary resources for students. Unobtrusive cross-referencing makes it the ideal companion to Perry R. Hinton's SPSS Explained, also published by Routledge.

Perry R. Hinton has many years of experience in teaching statistics to students from a wide range of disciplines and his understanding of the problems students face forms the basis of this book.

Includes bibliographical references (page 351) and index.

Introduction -- Descriptive statistics -- Standard scores -- Introduction to hypothesis testing -- Sampling -- Hypothesis testing with one sample -- Selecting samples for comparison -- Hypothesis testing with two samples -- Significance, error and power -- Samples and statistical inference -- Introduction to the analysis of variance -- One factor independent ANOVA -- Multiple comparisons -- One factor repeated measures ANOVA -- The interaction of factors in the analysis of variance -- The two factor ANOVA -- Two sample nonparametric analysis -- One factor ANOVA for ranked data -- Analysing frequency data : chi-square -- Linear correlation and regression -- Multiple correlation and regression -- Complex analyses -- An introduction to the general linear model -- Postscript.

CIT Module STAT 8006 - Core reading.

Table of contents provided by Syndetics

  • 1 Introduction
  • 2 Descriptive Statistics
  • 3 Standard Scores
  • 4 Introduction to Hypothesis Testing
  • 5 Sampling
  • 6 Hypothesis Testing with One Sample
  • 7 Selecting Samples for Comparison
  • 8 Hypothesis Testing with Two Samples
  • 9 Significance, Error and Power
  • 10 Samples and Statistical Inference
  • 11 Introduction to the Analysis of Variance
  • 12 One Factor Independent Measures ANOVA
  • 13 Multiple Comparisons
  • 14 One Factor Repeated Measures ANOVA
  • 15 The Interaction of Factors in the Analysis of Variance
  • 16 The Two Factor ANOVA
  • 17 Two Sample Nonparametric Analyses
  • 18 One Factor ANOVA for Ranked Data
  • 19 Analysing Frequency Data: Chi-Square
  • 20 Linear Correlation and Regression
  • 21 Multiple Correlation and Regression
  • 22 Complex Analyses
  • 23 An Introduction to the General Linear Model
  • 24 Postscript
  • Notes
  • Glossary
  • References
  • Appendix
  • Index

Author notes provided by Syndetics

Perry R. Hinton is a psychologist, and has worked for over twenty-five years in four British universities, in positions ranging from lecturer to Head of Department. He has taught in the areas of cognitive and social psychology, and research methods and statistics, primarily to psychology and communication and media students; but also to a wide range of students studying subjects including nursing, social work, linguistics, philosophy and education. He has written four textbooks and edited the Psychology Focus series for Routledge.