Statistics 2: Probability and Distribution Theory
Learn essential probability principles and distribution theory in this 5-week LSE course to strengthen your statistical analysis capabilities.
Learn essential probability principles and distribution theory in this 5-week LSE course to strengthen your statistical analysis capabilities.
This self-paced LSE course develops your understanding of elementary statistical theory, focusing on probability and distribution concepts. Building on Statistics 1, it covers essential topics including probability theory, random variables, and multivariate distributions. The course emphasizes applications in econometrics, finance, and quantitative social science, providing foundations for advanced undergraduate-level statistics studies. Perfect for those seeking to strengthen their quantitative skillset for career growth or further academic pursuit.
Instructors:
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What you'll learn
Understand and apply fundamental probability theory concepts
Master the principles of random variables and their distributions
Analyze multivariate random variables and their relationships
Apply statistical concepts to real-world problems in finance and economics
Develop competency in using standard statistical operators
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, Exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 5 modules in this course
The course provides a comprehensive introduction to probability and distribution theory, building upon foundational statistical concepts. Students explore probability theory, random variables, and their distributions, with special emphasis on applications in econometrics and finance. The curriculum integrates theoretical understanding with practical applications, preparing learners for advanced statistical analysis in academic and professional contexts.
Probability theory I
Module 1
Probability theory II
Module 2
Random variables
Module 3
Common distributions of random variables
Module 4
Multivariate random variables
Module 5
Fee Structure
Instructor
12 Courses
Distinguished Statistics Lecturer and Forensic Statistics Expert
James Abdey serves as an Associate Professorial Lecturer in Statistics at the London School of Economics and Political Science (LSE), where he earned his Ph.D. in 2010 with his innovative thesis "To p, or not to p?: Quantifying inferential decision errors to assess whether significance truly is significant." His expertise spans mathematical statistics, quantitative methods, and market research, with particular focus on forensic statistics and the intersection of statistics with law. His academic contributions include teaching core undergraduate courses and developing specialized electives in market research techniques. Beyond academia, he has established himself as a respected consultant, working on quantitative projects for organizations including the World Gold Council and the art market. His research has significantly influenced statistical methodology, particularly in hypothesis testing and inferential decision-making. Through his involvement with LSE's Summer School and the University of London International Programmes, he has played a crucial role in advancing statistical education and making complex statistical concepts accessible to diverse audiences
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