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The third in a series of four courses which help you to master statistics fundamentals and build your quantitative skillset for progression in high-growth careers, or to use as step towards further study at undergraduate level.
After a course session ends, it will be archived.
Statistics 2 Part 1 is a self-paced course from LSE which aims to develop your knowledge of elementary statistical theory, particularly relating to the concepts, methods and techniques of measurement and hypothesis testing that were introduced in Statistics 1, Parts 1 and 2. This course can be taken alone or as part of the LSE MicroBachelors program in Statistics Fundamentals.
Part 1, Probability and Distribution Theory, covers the following topics:
● Probability theory I
● Probability theory II
● Random variables
● Common distributions of random variables
● Multivariate random variables
There is an emphasis on topics that relate to econometrics, finance and quantitative social science. Concepts and methods that provide the foundations for more specialised undergraduate-level courses in statistics and econometrics are introduced.
Statistics 2 part 1 assumes no prior knowledge of statistics. Although there are no formal prerequisites for this course, it is strongly recommended to study the LSE statistics courses in order, given the cumulative nature of the subject matter. Statistics 1, Parts 1 and 2, provide a solid foundation for this course.
By the end of this course, you will:
Have developed key ideas from Statistics 1 that are accessible to a student with a moderate mathematical competence
apply and be competent users of standard statistical operators
be able to recall a variety of well-known distributions and their respective moments
● Probability theory I
● Probability theory II
● Random variables
● Common distributions of random variables
● Multivariate random variables
