Practical Statistics for The User Experience I
- 2.5 hours on-demand video
- 2 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
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Measurement is important but statistics can be intimidating. In this Practical Statistics for User Experience (UX) Course we will present approachable concepts and lots examples for generating statistical solutions to common questions in user research. The presentation includes many graphical representations and a "What test do I use?" decision tree.
Is Design A more usable than Design B? Do more users convert on the new design? Is our Net Promoter Score statistically better than last year?
Learn to use and interpret the right statistical tests on small and large sample user-data using just Excel. We will cover:
- Sampling Fundamentals
- The Normal Distribution
- Confidence Intervals
- Comparing Means and Proportions
- Understanding what statistical test to perform and how to perform it
- Interpreting p-values
- Reporting and Explaining Statistical Significance to Stakeholders
- Making better decsions with data and understanding uncertainty and risk
This course is course number E 60.2 from a comprehensive curriculum on User experience (UX) currently under development at The Online User eXperience Institute (OUXI).
In this lecture we'll cover:
- Fundamenteal Concepts of Sampling
- Core UX Metrics
- Population Parameters and Sample Statistics
- Why you can use statistics in UX and with small sample sizes
Reviews the normal distribution and introduces the concept of confidence intervals.
Confidence intervals tell us the plausible range of the unknown user population average or proportion we estimate from our sample data. We can use confidence intervals on small and large sample sizes.
We continue to work through the concept of confidence intervals and calculate them using an Excel calculator. The lecture points to parts in the companion book (available for free with this course) that provides more practice and how to use the R statistics package.
Probably one of the most useful things you can compute is the binomial confidence interval. We get plenty of practice computing this. You can use the free online calculator at http://www.measuringusability.com/wald.htm to get the same results as the Excel Calculator.
This is where the rubber meets the road. In this lecture we introduce you to the concept of how sample means fluctuate and how we are able to determine if the difference between means or proportions are statistically significant.
The lecture includes detailed animation and minimal formuals so you can grasp the important concept of hypothesis testing and the central limit theorem as applied to comparing two means.
More practice comparing two means using the Excel calculator and interpreting p-values, confidence intervals and statistical significance.
Free online calculators are also available:
A very common calculation is comparing two binary variables: convert/didn't convert, purchase/didn't purchase and is used in A/B testing. We show how this works for small and large sample sizes and how to interpret the results.
Free online calculators are also available :