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This book is designed to help Education students gain confidence in analysing and interpreting quantitative data and using appropriate statistical tests, by exploring, in plain language, a variety of data analysis methods.
List of contents
Part 1: Understanding quantitative data and R
1. Introduction to information, knowledge and quantitative data
2. An introduction to R and RStudio
Part 2: Data visualisation
3. Graphical representation of data
Part 3: Providing information about data
4. Descriptive statistics
5. Measures of dispersion and distributions
6. Normal distribution and standardised scores
Part 4: Making estimations and predictions from the data
7. Fundamentals of inferential statistics
8. Estimations and hypothesis testing
Part 5: From sample to population
9. One-sample tests
10. Differences between the independent or dependent two samples
11. Difference between more than two independent samples
12. Difference between more than two dependent samples
Part 6: Relationships and predictions
13. Relationship between variables
14. Predictions for independent and dependent variables
About the author
Dr Nicoleta Gaciu is Senior Lecturer in Education at Oxford Brookes University, UK. Her academic and research specialisations in disciplines such as physics, statistics, computer sciences, research methods and business have given her the best opportunities to make connections across disciplines, to view real-life phenomena through different lenses and to take different perspectives, knowledge, logical and methodological approaches for interdisciplinary research.
Summary
This book is designed to help Education students gain confidence in analysing and interpreting quantitative data and using appropriate statistical tests, by exploring, in plain language, a variety of data analysis methods.
