From the course: Data Literacy: Exploring and Describing Data

Unlock the full course today

Join today to access over 24,900 courses taught by industry experts.

Numerical descriptions

Numerical descriptions

From the course: Data Literacy: Exploring and Describing Data

Start my 1-month free trial Buy for my team

Numerical descriptions

“

- [Instructor] A lot of practical decisions can be made by applying what's called the interocular trauma test to your data. Make a graph and see if anything hits you between the eyes. However, when you're working with larger data sets and when more's at stake, like a person's health or wellbeing, or maybe the margins in an extremely competitive market, then you'll only need more nuance and precision in your analysis. And that's where numerical descriptions come in. We're going to look at some of the most common and most useful ways to describe data numerically. These include ways of describing the center of a collection or distribution of numbers, some of the measures of variability that tell you how spread out things are. We'll look at some methods to rescale scores in a distribution to make them easier to understand and to work with, and then finally, we'll look at a few ways of assessing the associations between variables with measures of effect size, with correlations, and…

Contents