Simple Statistics for User Experience Projects

Course details

Despite statistics being used more widely than ever and in increasingly diverse fields, many people still see statistics as a scary or confusing topic. In this course, Chris Nodder looks to take some of the mystery out of statistics by using real-world examples that show how you can apply data to your own work and user experience design projects. Chris starts with explaining that not every situation needs or benefits from statistics at all. He llustrates when stats and data are actually useful. Then, he dives into key topics like why statistics are important for design projects; how to ask the right questions in order to get targeted results; the types of data you'll want to collect, and methods for doing so; how to analyze the data you've gathered and process it; and how to report the results in a meaningful way and continue the process forward.

Concepts

Introduction

Statistics don't have to be scary
Using the example spreadsheet

Getting the Data You Need

Do you need statistics in your work
Asking the right questions
Capturing suitable data
Different types of data
Different distributions of data
Statistical significance explained

Describing Your Data

Exploring your data
Describing your data - Frequencies and percentages
Describing your data - Averages
Describing your data - Variability

Analyzing Your Data

Testing for similarity in continuous data
Testing for similarity in noncontinuous data
Testing for differences in continuous data
Testing for differences in noncontinuous data
Running statistical tests in other software

Visualizing Your Results

Visualizing descriptive statistics
Charting differences
Charting similarities

Using Statistics with Your Team

How to talk about results
Stay curious