Statistics 2: Statistical Inference
Master statistical inference concepts in this 5-week LSE course covering sampling distributions, estimation, and hypothesis testing.
Master statistical inference concepts in this 5-week LSE course covering sampling distributions, estimation, and hypothesis testing.
This comprehensive statistics course from LSE focuses on developing advanced statistical theory knowledge, particularly in measurement and hypothesis testing. The curriculum builds on fundamental concepts from Statistics 1, covering sampling distributions, point estimation, interval estimation, hypothesis testing, and ANOVA. The course emphasizes applications in econometrics, finance, and quantitative social science, providing essential foundations for specialized statistical studies. Students learn to apply various methods for data analysis, develop statistical inference skills, and understand the importance of assumption validation in real-world problem-solving.
Instructors:
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What you'll learn
Apply advanced methods for data analysis and interpretation
Master statistical inference principles and testing procedures
Understand sampling distributions and their applications
Perform point and interval estimation effectively
Conduct hypothesis tests and ANOVA analyses
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 delves into advanced statistical theory and applications. Key areas include sampling distributions of statistics, point estimation techniques, interval estimation methods, hypothesis testing procedures, and analysis of variance (ANOVA). The curriculum emphasizes practical applications in econometrics, finance, and social sciences while building foundations for more specialized statistical studies.
Sampling distributions of statistics
Module 1
Point estimation I
Module 2
Point estimation II and interval estimation
Module 3
Hypothesis testing
Module 4
Analysis of variance (ANOVA)
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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