Simple Statistics for User Experience Projects

Simple Statistics for User Experience Projects

English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 1h 45m | 214 MB

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.

Table of Contents

1 Statistics don’t have to be scary
2 Using the example spreadsheet

1. Getting the Data You Need
3 Do you need statistics in your work
4 Asking the right questions
5 Capturing suitable data
6 Different types of data
7 Different distributions of data
8 Statistical significance explained

2. Describing Your Data
9 Exploring your data
10 Describing your data Frequencies and percentages
11 Describing your data Averages
12 Describing your data Variability

3. Analyzing Your Data
13 Testing for similarity in continuous data
14 Testing for similarity in noncontinuous data
15 Testing for differences in continuous data
16 Testing for differences in noncontinuous data
17 Running statistical tests in other software

4. Visualizing Your Results
18 Visualizing descriptive statistics
19 Charting differences
20 Charting similarities

5. Using Statistics with Your Team
21 How to talk about results
22 Stay curious