Statistics Fundamentals Proctored Exam
Take the final assessment for LSE's MicroBachelors in Statistics Fundamentals, testing your mastery of probability, statistical inference, and data analysis.
Take the final assessment for LSE's MicroBachelors in Statistics Fundamentals, testing your mastery of probability, statistical inference, and data analysis.
This comprehensive proctored examination evaluates your understanding of fundamental statistical concepts covered in LSE's MicroBachelors program. The two-hour online assessment tests your knowledge of probability theory, statistical methods, distribution theory, and statistical inference. Designed as the capstone assessment for the program, it requires a minimum passing score of 60% to earn your certificate. Topics include data visualization, hypothesis testing, sampling design, regression analysis, and ANOVA.
Instructors:
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What you'll learn
Master fundamental statistical concepts and methods
Apply probability theory to real-world scenarios
Perform advanced statistical analysis and inference
Conduct hypothesis testing and interpret results
Analyze data using regression and ANOVA techniques
Skills you'll gain
This course includes:
PreRecorded video
Proctored exam
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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There are 5 modules in this course
This proctored examination is the final component of the LSE MicroBachelors program in Statistics Fundamentals. The assessment covers comprehensive topics including probability theory, statistical inference, data visualization, sampling methods, hypothesis testing, regression analysis, and ANOVA. Students must demonstrate proficiency in both theoretical understanding and practical application of statistical concepts. The exam evaluates mastery of content from all four courses in the program sequence.
Mathematical Foundations and Statistics Basics
Module 1
Probability and Distribution Theory
Module 2
Statistical Testing and Analysis
Module 3
Advanced Statistical Concepts
Module 4
Statistical Estimation and 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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