Sampling & Estimation - A (Re)Introduction to Statistics Module 2 скачать в хорошем качестве

Sampling & Estimation - A (Re)Introduction to Statistics Module 2

This resource is the second in a series of modules on statistical data analysis. The module covers key concepts around sampling, bias, estimation and confidence intervals, using a public data set as an example. 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 - Intro 00:35 - Defining population and sample 04:01 - Sampling and estimation 06:39 - Sampling and non-sampling errors 10:42 - Probabilistic and non-probabilistic sampling 11:46 - Simple random sampling 12:43 - Precision of the estimate 16:33 - Confidence interval 20:00 - Demonstration