MTU Cork Library Catalogue

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Statistics explained : a guide for social science students / Perry R. Hinton.

By: Hinton, Perry R. (Perry Roy), 1954-.
Material type: materialTypeLabelBookPublisher: London ; New York : Routledge, 1995 (1998)Description: xvi, 322 p. : ill. ; 26 cm. + pbk.ISBN: 0415102855 (hbk); 0415102863 (pbk).Subject(s): PsychometricsDDC classification: 519.5
Contents:
Introduction -- Descriptive statistics -- Standard scores -- Introduction to hypothesis testing -- Sampling -- Hypothesis testing with a sample -- Selecting samples for comparison -- Hypothesis testing with two samples -- Significance, error and power -- Introduction to the analysis of variance -- One factor independent measures ANOVA -- Multiple comparisons -- One factor repeated measures ANOVA -- Multiple comparisons -- One factor repeated measures ANOVA -- The interaction of factors in the analysis of variance -- Calculating the two factor ANOVA -- An introduction to nonparametric analysis -- Two sample nonparametric analysis -- One factor ANOVA for ranked data -- Analysisg frequency data: Chi-square -- Linear correlation and regression -- Multiple correlation and regression -- Using statistics programs on computers.
Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
General Lending MTU Bishopstown Library Lending 519.5 (Browse shelf(Opens below)) 1 Available 00074222
Total holds: 0

Includes bibliographical references (pages 295-296) and index.

Introduction -- Descriptive statistics -- Standard scores -- Introduction to hypothesis testing -- Sampling -- Hypothesis testing with a sample -- Selecting samples for comparison -- Hypothesis testing with two samples -- Significance, error and power -- Introduction to the analysis of variance -- One factor independent measures ANOVA -- Multiple comparisons -- One factor repeated measures ANOVA -- Multiple comparisons -- One factor repeated measures ANOVA -- The interaction of factors in the analysis of variance -- Calculating the two factor ANOVA -- An introduction to nonparametric analysis -- Two sample nonparametric analysis -- One factor ANOVA for ranked data -- Analysisg frequency data: Chi-square -- Linear correlation and regression -- Multiple correlation and regression -- Using statistics programs on computers.

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