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.
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.
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.
Inhaltsangabe
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
