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Statistics 2 Part 1: Probability and Distribution Theory

London School of Economics and Political Science via EdX

Description

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.

Tags
Electrical Engineering

Syllabus

● Probability theory I

● Probability theory II

● Random variables

● Common distributions of random variables

● Multivariate random variables

Statistics 2 Part 1: Probability and Distribution Theory

London School of Economics and Political Science
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  • Type
    Online Courses
  • Provider
    EdX

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.

● Probability theory I

● Probability theory II

● Random variables

● Common distributions of random variables

● Multivariate random variables

Tags

Electrical Engineering

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