Sampling and Probability

Overview

We take a step back from R syntax to think carefully about how data is collected and what probability means. We use Monte Carlo simulation to build intuition about randomness, sampling, and the behaviour of statistics across repeated samples.

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Download

1. Download and open the content project for this week:

   • 04-content.zip: Download this file, unzip it, and double-click on 04-content.Rproj to open it in RStudio.

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Readings

TipR for Non-Programmers

• Chapter 9: Sources of bias: Sampling, outliers, normality and other conundrums

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Slides

Note

Slides for this session will appear here.