Statistics 1 Part 2
About this Course
Statistics 1 Part 2 is a self-paced course from LSE which aims to introduce you to and develop your understanding of essential statistical concepts, methods and techniques, emphasising the applications of these methods. This course can be taken alone or as part of the LSE MicroBachelors program in Statistics Fundamentals or the LSE MicroBachelors program in Mathematics and Statistics Fundamentals. Part 2, Statistical Methods, covers the following topics: ● Hypothesis testing I ● Hypothesis testing II ● Contingency tables and the chi-squared test ● Sampling design and some ideas underlying causation ● Correlation and linear regression Statistics 1 Part 2 forms part of a series of courses which focuses on the application of statistical methods in management, economics and the social sciences. Attention will focus on how to approach statistical problems, as well as the interpretation of tables and results.Created by: The London School of Economics and Political Science
Level: Intermediate

Related Online Courses
Probability and statistics help to bring logic to a world replete with randomness and uncertainty. This course will give you tools needed to understand data, science, philosophy, engineering,... more
Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in thi... more
This course helps prepare you for positions that require the analysis of large data sets, providing the statistics foundation you’ll need for data analysis. You’ll learn how to model real-world app... more
Este curso te permitirá desarrollar habilidades como un tomador de decisiones con base a las siguientes competencias: análisis de elementos estadístico de la información conceptos y fun... more
Bayesian Statistics is a captivating field and is used most prominently in data sciences. In this course we will learn about the foundation of Bayesian concepts, how it differs from Classical... more