How to Make Sense of Statistics

图书简介

In a new textbook designed for students new to statistics and social data, Stephen Gorard focuses on non-inferential statistics as a basis to ensure students have basic statistical literacy. Understanding why we have to learn statistics and seeing the links between the numbers and real life is a crucial starting point. Using engaging, friendly, approachable language this book will demystify numbers from the outset, explaining exactly how they can be used as tools to understand the relationships between variables. This text assumes no previous mathematical or statistical knowledge, taking the reader through each basic technique with step-by-step advice, worked examples, and exercises. Using non-inferential techniques, students learn the foundations that underpin all statistical analysis and will learn from the ground up how to produce theoretically and empirically informed statistical results.

Part I: Introduction \\ Chapter 1: Why we use numbers in research \\ Chapter 2: What is a number?: Issues of measurement \\ Part II: Basic analyses \\ Chapter 3: Working with one variable \\ Chapter 4: Working with tables of categorical variables \\ Chapter 5: Examining differences between real numbers \\ Chapter 6: Significance tests: how to conduct them and what they do not mean \\ Chapter 7: Significance tests: why we should not report them \\ Part III: Advanced issues for analysis \\ Chapter 8: The role of judgement in analysis \\ Chapter 9: Research designs \\ Chapter 10: Sampling and populations \\ Chapter 11: What is randomness? \\ Chapter 12: Handling missing data: The importance of what we don’t know \\ Chapter 13: Handling missing data: more complex issues \\ Part IV: Modelling with data \\ Chapter 14: Errors in measurements \\ Chapter 15: Correlating two real numbers \\ Chapter 16: Predicting measurements using simple linear regression \\ Chapter 17: Predicting measurements using multiple linear regression \\ Chapter 18: Assumptions and limitations in regression \\ Chapter 19: Predicting outcomes using logistic regression \\ Chapter 20: Data reduction techniques \\ Part V: Conclusion \\ Chapter 21: Presenting data for your audience

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How to Make Sense of Statistics 如何理解统计数据 数理统计学

How to Make Sense of Statistics

如何理解统计数据
数理统计学