This accessible guide is an ideal starter for students who are puzzled by statistics and quantitative data analysis. Taking students step-by-step through the statistical process, it introduces the steps involved in...Show More
This accessible guide is an ideal starter for students who are puzzled by statistics and quantitative data analysis. Taking students step-by-step through the statistical process, it introduces the steps involved in successfully describing, analyzing and interpreting data and explains the logic which underpins these processes. Bite-sized chapters provide practical guidance for each stage of the process, from defining the research question and designing questionnaires through to using the appropriate statistical tests and analyses for the task and reporting and interpreting statistics.
Clear and concise, this will be a go-to resource for undergraduates of all disciplines who need to get to grips with basic statistics on their course.
- Starts from where the student is by gradually introducing the underlying methods behind data analysis
- Includes top tips to help students avoid common pitfalls
- Uses visual methods, worked examples and flowcharts to make key concepts accessible to students
- Contains a handy quick reference section on mathematical symbols
PART 1: GETTING STARTED
1. What does your assignment ask you to do?
2. How will you do it?
3. Defining your research question
4. Tips for designing your questionnaire
5. How to enter your data into a spreadsheet
PART 2: UNDERSTANDING AND DESCRIBING YOUR DATA
6. What type of data do you have?
7. Descriptive statistics
8. What plot should you use?
PART 3: HOW DO STATISTICAL TESTS WORK?
9. What is a statistical hypothesis?
10. Using probability distributions in statistical tests
11. Statistics, "errors" and interpretation
PART 4: WHAT STATISTICAL TEST DO YOU NEED?
12. The statistics signpost
13. Statistical flowcharts
14. Case studies
PART 5: THE STATISTICAL PROCESS
15. You the researcher
16. You the interpreter
ABOUT THE AUTHOR
- Modern Social Work Theory Malcolm Payne
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- iOLab for Scientists and Engineers Mats Selen
- A Course in Behavioral Economics Erik Angner
- Maximizing the Impacts of Academic Research Patrick Dunleavy, Jane Tinkler
- The Everyday Writer, Exercise Version Andrea A. Lunsford
- Calculus I with Integrated Precalculus Laura Taalman, Peter Kohn
- A Writer's Reference with Writing About Literature Diana Hacker, Nancy Sommers
- Be Well, Learn Well Gareth Hughes
- The Reflective Journal Barbara Bassot
- Critical Thinking Skills Stella Cottrell
- Getting Critical Kate Williams
- Reading and Making Notes Jeanne Godfrey
- Dissertations and Project Reports Stella Cottrell
- Writing for University Jeanne Godfrey
- Referencing and Understanding Plagiarism Kate Williams, Mary Davis
- Skills for Success Stella Cottrell
- The Study Skills Handbook Stella Cottrell
- How to Write Better Essays Bryan Greetham
- Brilliant Writing Tips for Students Julia Copus
- Report Writing Michelle Reid
- 14 Days to Exam Success Lucinda Becker