March 2015
Beginner to intermediate
396 pages
10h 23m
English
Content preview from Improving the User Experience through Practical Data AnalyticsBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 8
Comparing more than two means
Two factor ANOVA with independent samples: the important role of interaction
Abstract
This chapter considers the effect of two factors on any kind of metric you collect, including ease-of-use of a task, time it takes to complete a task, or the sophistication of a design. For each of the two factors, we separately test the null hypothesis that the mean for each level of the factor is the same, vs. the alternate hypothesis that the means are not the same. We also bring to bear the Student-Newman-Keuls (S-N-K) test for each factor to further determine what the differences are, if, indeed, we find that there are differences in the means. The chapter also introduces interaction effects, an important and often overlooked ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.