Moocable is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Statistics 2 Part 2: Statistical Inference

London School of Economics and Political Science via EdX

Description

Statistics 2 Part 2 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 and Statistics 2, Part 1. This course can be taken alone or as part of the LSE MicroBachelors program in Statistics Fundamentals.

Part 2, Statistical Inference, covers the following topics:

● Sampling distributions of statistics

● Point estimation I

● Point estimation II and interval estimation

● Hypothesis testing

● Analysis of variance (ANOVA)

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 courses in statistics and econometrics are introduced.

Tags
Cybersecurity

Syllabus

● Sampling distributions of statistics

● Point estimation I

● Point estimation II and interval estimation

● Hypothesis testing

● Analysis of variance (ANOVA)

Statistics 2 Part 2: Statistical Inference

London School of Economics and Political Science
Start Learning Find study partner
Affiliate notice

  • Type
    Online Courses
  • Provider
    EdX

Statistics 2 Part 2 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 and Statistics 2, Part 1. This course can be taken alone or as part of the LSE MicroBachelors program in Statistics Fundamentals.

Part 2, Statistical Inference, covers the following topics:

● Sampling distributions of statistics

● Point estimation I

● Point estimation II and interval estimation

● Hypothesis testing

● Analysis of variance (ANOVA)

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 courses in statistics and econometrics are introduced.

● Sampling distributions of statistics

● Point estimation I

● Point estimation II and interval estimation

● Hypothesis testing

● Analysis of variance (ANOVA)

Tags

Cybersecurity

Related Courses

Quick Links

Browse by subject

Browse by provider

Browse by university

Browse by publisher

Browse by institution

Roadmaps

Posts