Hypothesis Testing - A (Re)Introduction to Statistics Module 3 скачать в хорошем качестве

Hypothesis Testing - A (Re)Introduction to Statistics Module 3

This is the third video in a series of modules on statistical data analysis. This module covers hypothesis testing - thinking around how to formulate, test and interpret the results from statistical tests, and how to understand p-values resulting from these tests. For our free resources, visit our website: https://stats4sd.org/resources About Stats4SD: Statistics for Sustainable Development is a not-for-profit, social enterprise that provides statistical and data management expertise, support on research designs and methodology, and technical guidance related to collection and processing of data and information. As a team of technicians and statisticians, we believe that our best work is done when supporting organisations and communities across the world that share our vision of a more sustainable future for all. The videos on our channel aim to support students, researchers, and academics, and are accompanied by the free resources on our website. This video was written and presented by Alex Riba. Stay updated on what the team is up to over on our LinkedIn:   / statistics-for-sustainable-development   Contents: 00:00 - What is hypothesis testing? 00:28 - Method for hypothesis testing 02:08 - Null hypothesis 04:28 - Alternative hypothesis 06:32 - p-value 11:37 - Statistical significance 14:13 - p-value, significance level and confidence interval 18:12 - Applying theory to practice 20:02 - What p-values can do 21:33 - Conclusion