Learn about plotting on images; null and alternative hypothesis; and p values.
- [Instructor] For this video, we leave local covenants…and we go back to 1854 in London,…a very rough time because of the repeated…and deadly epidemics of cholera.…Physician John Snow used simple statistics…and beautiful plotting, to pinpoint the origin…of one such outbreak to a contaminated water pump…on Broad Street.…It's a fascinating story, go look it up.…We are going to follow in John Snow's footsteps…to learn about testing hypotheses.…So here are two datasets.…
Let me first import packages.…The first dataset contains the positions…of eight water pumps in Central London.…These are given as latitude/longitude,…and also distances from a reference point,…pump number zero, in kilometers.…The other dataset contains the number of deaths…at different locations,…as well as the closest pump to that location.…
Let's look at one record every 20.…We can plot this quickly.…We want the square figure,…and a scatter plot of the pumps,…and the deaths.…And we'll make these a little smaller.…
In fact, it would be fun to over-plot this…
- Installing and setting up Python
- Importing and cleaning data
- Visualizing data
- Describing distributions and categorical variables
- Using basic statistical inference and modeling techniques
- Bayesian inference
Skill Level Intermediate
SPSS Statistics Essential Trainingwith Barton Poulson4h 57m Beginner
R Statistics Essential Trainingwith Barton Poulson5h 59m Intermediate
1. Installation and Setup
2. Importing and Cleaning Data
3. Visualizing and Describing Data
4. Introduction to Statistical Inference
5. Introduction to Statistical Modeling
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