Read more
Through a unique combination of data visualisation and analytics (both theoretical and applied), this ground-breaking textbook provides you with the expertise to analyse, interpret and communicate data with confidence, to inform real-world decision making.
List of contents
Chapter 1 Decision-making Under Uncertainty
Chapter 2 Descriptive Statistics
Chapter 3 Data Visualisation
Chapter 4 Probability
Chapter 5 Probability Distributions
Chapter 6 Decision Tree Analysis and Game Theory
Chapter 7 Sampling and Sampling Distributions
Chapter 8 Opinion Research
Chapter 9 Estimation
Chapter 10 Hypothesis Testing
Chapter 11 Bivariate Analysis
Chapter 12 Analysis of Variance
Chapter 13 Linear Regression
Chapter 14 Multiple Regression
Chapter 15 Time-series Analysis and Forecasting
Chapter 16 Discriminant Analysis
Chapter 17 Factor Analysis
Chapter 18 Cluster Analysis
Chapter 19 Constrained Optimisation Models
Chapter 20 Monte Carlo Simulation
Appendix A Common Excel Functions
Appendix B Compendium of Probability Distributions
About the author
Dr James Abdey is an Associate Professorial Lecturer (Education) in Statistics having gained his PhD in 2010 from LSE, asking `To p, or not to p?′! He teaches the Department′s large service-level undergraduate courses in mathematical statistics and quantitative methods, as well as elective courses in market research. His research interests include market research techniques and forensic statistics - the interplay of statistics and the law.
James has been closely involved with the University of London International Programmes for a number of years, for which he serves as Associate Academic Director, and helped launch the BSc Data Science and Business Analytics programme. James is a Convenor for some courses in the LSE Online portfolio of programmes, and lectures during LSE′s Summer School. Outside of academia, he has also worked on various quantitative-based consultancy projects in areas including the art market and the World Gold Council.
Answer: p. With probability 1.
