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Go to College Publishing WebsiteDescription
In an increasingly data-centric world, we all need to know how to read and interpret statistics. But where do we begin?
This book breaks statistical terms and concepts down in a clear, straightforward way. From understanding what data are telling you to exploring the value of good storytelling with numbers, it equips you with the information and skills you need to become statistically literate.
It also:
- Dispels misconceptions about the nature of statistics to help you avoid common traps.
- Helps you put your learning into practice with over 60 Tasks and Develop Your Skills activities.
- Draws on real-world research to demonstrate the messiness of data – and show you a path through it.
Approachable and down to earth, this guide is aimed at undergraduates across the social sciences, psychology, business and beyond who want to engage confidently with quantitative methods or statistics. It forms a reassuring aid for anyone looking to understand the foundations of statistics before their course advances, or as a refresher on key content.
Contents
Chapter 1: Introduction
Chapter 1: Introduction
Chapter 2: Building a foundation
Chapter 2: Building a foundation
Chapter 3: Polls and surveys
Chapter 3: Polls and surveys
Chapter 4: Introduction to categorising and visualising data
Chapter 4: Introduction to categorising and visualising data
Chapter 5: The language of statistics and statistical inference
Chapter 5: The language of statistics and statistical inference
Chapter 6: An introduction to data stories
Chapter 6: An introduction to data stories
Chapter 7: Media reports and social media platforms
Chapter 7: Media reports and social media platforms
Chapter 8: Experiments and observational methods in research
Chapter 8: Experiments and observational methods in research
Chapter 9 How to read journals with quantitative data
Chapter 9 How to read journals with quantitative data
Chapter 10: Telling stories with descriptive data, tables, and graphs
Chapter 10: Telling stories with descriptive data, tables, and graphs
Chapter 11: Common misconceptions in statistics and statistical literacy
Chapter 11: Common misconceptions in statistics and statistical literacy
Chapter 12: Statistics communicated badly
Chapter 12: Statistics communicated badly
Chapter 13: The power of statistical literacy and statistical reasoning
Chapter 13: The power of statistical literacy and statistical reasoning
Description
In an increasingly data-centric world, we all need to know how to read and interpret statistics. But where do we begin?
This book breaks statistical terms and concepts down in a clear, straightforward way. From understanding what data are telling you to exploring the value of good storytelling with numbers, it equips you with the information and skills you need to become statistically literate.
It also:
- Dispels misconceptions about the nature of statistics to help you avoid common traps.
- Helps you put your learning into practice with over 60 Tasks and Develop Your Skills activities.
- Draws on real-world research to demonstrate the messiness of data – and show you a path through it.
Approachable and down to earth, this guide is aimed at undergraduates across the social sciences, psychology, business and beyond who want to engage confidently with quantitative methods or statistics. It forms a reassuring aid for anyone looking to understand the foundations of statistics before their course advances, or as a refresher on key content.
Contents
Chapter 1: Introduction
Chapter 1: Introduction
Chapter 2: Building a foundation
Chapter 2: Building a foundation
Chapter 3: Polls and surveys
Chapter 3: Polls and surveys
Chapter 4: Introduction to categorising and visualising data
Chapter 4: Introduction to categorising and visualising data
Chapter 5: The language of statistics and statistical inference
Chapter 5: The language of statistics and statistical inference
Chapter 6: An introduction to data stories
Chapter 6: An introduction to data stories
Chapter 7: Media reports and social media platforms
Chapter 7: Media reports and social media platforms
Chapter 8: Experiments and observational methods in research
Chapter 8: Experiments and observational methods in research
Chapter 9 How to read journals with quantitative data
Chapter 9 How to read journals with quantitative data
Chapter 10: Telling stories with descriptive data, tables, and graphs
Chapter 10: Telling stories with descriptive data, tables, and graphs
Chapter 11: Common misconceptions in statistics and statistical literacy
Chapter 11: Common misconceptions in statistics and statistical literacy
Chapter 12: Statistics communicated badly
Chapter 12: Statistics communicated badly
Chapter 13: The power of statistical literacy and statistical reasoning
Chapter 13: The power of statistical literacy and statistical reasoning
Reviews
April 2024 | 248 pages | Sage UK
| Format | Published Date | ISBN | Price |
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In an increasingly data-centric world, we all need to know how to read and interpret statistics. But where do we begin?
This book breaks statistical terms and concepts down in a clear, straightforward way. From understanding what data are telling you to exploring the value of good storytelling with numbers, it equips you with the information and skills you need to become statistically literate.
It also:
- Dispels misconceptions about the nature of statistics to help you avoid common traps.
- Helps you put your learning into practice with over 60 Tasks and Develop Your Skills activities.
- Draws on real-world research to demonstrate the messiness of data – and show you a path through it.
Approachable and down to earth, this guide is aimed at undergraduates across the social sciences, psychology, business and beyond who want to engage confidently with quantitative methods or statistics. It forms a reassuring aid for anyone looking to understand the foundations of statistics before their course advances, or as a refresher on key content.
Table Of Contents:
- Chapter 1: Introduction
- Chapter 2: Building a foundation
- Chapter 3: Polls and surveys
- Chapter 4: Introduction to categorising and visualising data
- Chapter 5: The language of statistics and statistical inference
- Chapter 6: An introduction to data stories
- Chapter 7: Media reports and social media platforms
- Chapter 8: Experiments and observational methods in research
- Chapter 9 How to read journals with quantitative data
- Chapter 10: Telling stories with descriptive data, tables, and graphs
- Chapter 11: Common misconceptions in statistics and statistical literacy
- Chapter 12: Statistics communicated badly
- Chapter 13: The power of statistical literacy and statistical reasoning