# GGR270H1 Lecture Notes - Lecture 4: Standard Deviation, Covariance, Scatter Plot

## Document Summary

Allows for comparison of variability spatial samples. Tests which sample has the greatest variability. Climatic data, rainfal or other forms of precipation, and then look at where you get a variability. Or traffic flows over the course of the day, in different hwy. Standard deviation or variance are absolute measures so, they are influenced by the size of the values in the dataset. Results that are influenced by outliers, there are to caviats you have to put just to measure. To allow a comparison of variation across two or more geograpic samples, can use a relative measure of dispersion called coefcient of variation. Given a number k greater than or equal to 1 and a set of n measurements, at least [1- Empirical rule (keep it in ur cheat sheet) We are relating the std deviation with the empirical rule. Std deviation is always a ( or + ) You will have a greater or lesser the mean.