Contains an introduction to the key methods and techniques useful for a typical statistics syllabus. This book helps students to develop the skills needed to analyze, interpret and prepare data for use in business, economics and related disciplines. It covers descriptive statistics, probability, sample theory and inferential statistics.
Contains an introduction to the key methods and techniques useful for a typical statistics syllabus. This book helps students to develop the skills needed to analyze, interpret and prepare data for use in business, economics and related disciplines. It covers descriptive statistics, probability, sample theory and inferential statistics.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Gert Nieuwenhuis is an Associate Professor at the Centre for Economic Research, Tilburg University.
Inhaltsangabe
Detailed table of contents Preface Guided Tour Technology to enhance teaching and learning 1 Introduction and basic concepts Part 1 Descriptive Statistics 2. Tables and graphs 3. Measures of location 4. Measures of variation 5.Pairs of variables Part 2 Probability 6. Definitions of Probability 7.Calculation of probabilities 8. Probability distribution, expectation, variance 9. Families of discrete distributions 10. Families of continuous distributions 11.Joint probability distributions Part 3 Sampling theory 12.Random samples 13.The sample mean 14.Sample proportion and other sample statistics Part 4 Inferential statistics 15.Interval estimation and hypothesis testing: a general introduction 16.Confidence intervals and tests for and 17.Statistical inference about 18.Confidence intervals and tests to compare two parameters 19. Simple linear regression 20.Multiple linear regression: introduction 21.Multiple linear regression: extension 22.Multiple linear regression: model violations 23.Time series and forecasting 24.Chi-squared tests 25.Nonparametric statistics Appendix A1Excel and SPSS (on Internet) Appendix A2Summation operator Appendix A3Greek letters Appendix A4Tables Appendix A5Numeric answers of exercises
Detailed table of contents Preface Guided Tour Technology to enhance teaching and learning 1 Introduction and basic concepts Part 1 Descriptive Statistics 2. Tables and graphs 3. Measures of location 4. Measures of variation 5.Pairs of variables Part 2 Probability 6. Definitions of Probability 7.Calculation of probabilities 8. Probability distribution, expectation, variance 9. Families of discrete distributions 10. Families of continuous distributions 11.Joint probability distributions Part 3 Sampling theory 12.Random samples 13.The sample mean 14.Sample proportion and other sample statistics Part 4 Inferential statistics 15.Interval estimation and hypothesis testing: a general introduction 16.Confidence intervals and tests for and 17.Statistical inference about 18.Confidence intervals and tests to compare two parameters 19. Simple linear regression 20.Multiple linear regression: introduction 21.Multiple linear regression: extension 22.Multiple linear regression: model violations 23.Time series and forecasting 24.Chi-squared tests 25.Nonparametric statistics Appendix A1Excel and SPSS (on Internet) Appendix A2Summation operator Appendix A3Greek letters Appendix A4Tables Appendix A5Numeric answers of exercises
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