This book explains statistical concepts in a highly readable and accessible way - assuming no formal knowledge of statistics. It uses practical examples from a variety of disciplines, and concentrates on the clear explanation of a wide range of statistical techniques. The book is also a comprehensive introduction and guide to SPSS (up to Version 10), and comes with a useful CD-ROM with sample data sets.
Organized so that it offers a clear guide to choosing the appropriate procedure the first edition of this book proved to be very popular across a range of disciplines because of its easy-to-follow style, and simple guide to SPSS. This thoroughly revised and updated international edition builds on those strengths. The book
|Edition description:||First Edition|
|Product dimensions:||6.69(w) x 9.52(h) x (d)|
About the Author
George Argyrous is a senior lecturer in the School of Social Science and Policy at the University of New South Wales, Australia.
Table of Contents
PART ONE: UNIVARIATE DESCRIPTIVE STATISTICSVariables and Their MeasurementSetting up an SPSS Data FileThe Tabular Description of DataThe Numerical Description of Data Measures of Central Tendency and Measures of DispersionThe Graphical Description of DataThe Normal CurvePART TWO: BIVARIATE DESCRIPTIVE STATISTICSInvestigating the Relationship between Two Variables The Tabular Description of Nominal and Ordinal DataNumerical Description of Nominal Data Measures of AssociationNumerical Description of Ordinal DataGraphical and Numerical Description of Interval/Ratio Data Scatter Plots and Linear RegressionPART THREE: INFERENTIAL STATISTICS: THE ONE-SAMPLE CASESampling DistributionsEstimation and Confidence IntervalsIntroduction to Hypothesis Testing One-Sample z-Test for a MeanThe One-Sample t-Test for a MeanOne-Sample Tests for a Binomial DistributionOne-Sample Tests for a Frequency DistrbutionPART FOUR: INFERENTIAL STATISTICS: TWO OR MORE INDEPENDENT SAMPLESThe F-Test for the Equality of More Than Two Means Analysis of VarianceRank-Order Tests for Two or More SamplesThe Chi-Square Test for IndependenceThe t-Test for a Correlation CoefficientPART FIVE: INFERENTIAL STATISTICS: TWO DEPENDENT SAMPLESThe t-Test for the Mean DifferenceNon-Parametric Tests for Two Dependent SamplesPART SIX: MULTIVARIATE DESCRIPTIVE STATISTICSElaborating Crosstabs Adding Control VariablesMultiple Regression