Interpreting Quantitative Data with IBM SPSS Statistics
Rachad Antonius
Abstract
Rachad Antonius
Abstract
PART ONE INTRODUCTION TO QUANTITATIVE METHODS The Basic Language of Statistics The Research Process PART TWO DESCRIPTIVE STATISTICS Univariate Descriptive Statistics Graphical Representations PART THREE METHODOLOGICAL TOOLS Creating New Variables with SPSS Normal Distributions and Sampling Distributions Sampling Designs PART FOUR INFERENTIAL STATISTICS Estimation Hypothesis-Testing PART FIVE Correlation and the Regression Line Two-Way Tables and the Chi-Squared Test t-tests and ANOVA Appendix I: Reporting a Quantitative Analysis Appendix II: How to Create a Data File in SPSS Appendix III: Areas Under the Normal Curve Appendix IV: Table of Random Numbers Glossary
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PART ONE INTRODUCTION TO QUANTITATIVE METHODS The Basic Language of Statistics The Research Process PART TWO DESCRIPTIVE STATISTICS Univariate Descriptive Statistics Graphical Representations PART THREE METHODOLOGICAL TOOLS Creating New Variables with SPSS Normal Distributions and Sampling Distributions Sampling Designs PART FOUR INFERENTIAL STATISTICS Estimation Hypothesis-Testing PART FIVE Correlation and the Regression Line Two-Way Tables and the Chi-Squared Test t-tests and ANOVA Appendix I: Reporting a Quantitative Analysis Appendix II: How to Create a Data File in SPSS Appendix III: Areas Under the Normal Curve Appendix IV: Table of Random Numbers Glossary
Key concepts: IBM, Statistics, Summary statistics, Computer science, Data science, Mathematics, Nanotechnology, Materials science