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

Описание: 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.


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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