George Argyrous is a senior lecturer in the School of Social Science and Policy at the University of New South Wales, Australia.

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Description
PART ONE: AN INTRODUCTION TO STATISTICAL ANALYSIS Variables and Their Measurement Setting up an SPSS Data File PART TWO: DESCRIPTIVE STATISTICS: GRAPHS AND TABLES The Graphical Description of Data The tabular Description of Data Using Tables to Investigate the Relationship between Variables: Crosstabulations Measures of Association for Crosstabulations: Nominal Data Measures of Association for Crosstabulations: Ranked Data Multivariate Analysis of Crosstabs: Elaboration PART THREE: DESCRIPTIVE STATISTICS: NUMERICAL MEASURES Measures of Central Tendency Measures of Dispersion The Normal Curve Correlation and Regression Multiple Regression PART FOUR: INFERENTIAL STATISTICS: TESTS FOR A MEAN Sampling Distributions Introduction to Hypothesis Testing and the One Sample z-Test for a Mean The One Sample t-Test for a Mean Inference Using Estimation and Confidence Intervals The Two Samples t-Test for the Equality of Means The f-Test for the Equality of More Than Two Means: Analysis of Variance The Two Dependent Samples t-Test for the Mean Difference PART FIVE: INFERENTIAL STATISTICS: TESTS FOR FREQUENCY DISTRIBUTIONS One Sample Tests for a Binomial Distribution One Sample Tests for a Multinomial Distribution The Chi-Square Test for Independence Frequency Tests for Two Dependent Samples PART SIX: INFERENTIAL STATISTICS: OTHER TESTS OF SIGNIFICANCE Rank-Order Tests for Two or More Samples The t-Test for a Correlation Coefficient PART SEVEN: ADVANCED TOPICS Statistical Power Generating New Variables in SPSS: The Recode, Compute and Multiple Response Commands
