Usability Statistics Package

Download an easy to use and affordable statistical package that computes the most popular statistical tests. If you can use excel you can use the EasyStats Calculators!

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Features & Benefits

Covers the most needed statistical tests for usability data: compare task times or completion rates; generate confidence intervals or compare a sample mean to a criterion (e.g. can at least 70% of users complete the task?)
Designed for small and large sample data : Many lab-based usability tests have less than 15 users, the package is designed to compute the precise results for both very small and very large sample sizes.
How to Report: Each statistical test comes with different ways of communicating the statistical results in plain English.
Corrects Non-Normal Task Time Data: Time on task data is positively skewed making it incompatible with many statistical tests. The calculators automatically correct for the skewed data and generate accurate results.
No hidden computations see the cell formulas to better understand how the statistical tests are computed
Customize the formulas or integrate the calculators with other Excel files and using Excel's built-in graphing and other statistical functions
Easily share results using excel or link the calculators to other workbooks.

Who Should Buy

Professionals who want an easy way to conduct the most common statistical tests on usability data without the hassle of installations and learning complicated statistical packages�if you can use excel you can use the Usability Stats Package!

Select Sample Screen Shots

Home Page

The Home-Page provides an easy starting point for calculators.

Test a Task Time against a Criterion & Confidence Interval

Just paste the raw task times and the calculator will transform the times to adjust for non-normality. You�ll instantly see a graph and confidence interval for the data. You can also enter a criterion (e.g. 100 seconds) to see if the observed mean time is statistically higher than the test criterion.

Test a Completion Rate against a Criterion & Confidence Interval

Enter the number of users who completed the task and the total attempted and the calculator provides the confidence interval and a graph of the results. Simply enter a test criterion (e.g. 70%) to see if the observed completion rate is statistically higher than the test criterion.

Compare Completion Rates

Determine whether two completion rates (e.g. from competing products or different versions) are statistically different. Just enter the total users tested and number successful for each application and get the statistical results.

Compare Two Task Times or Satisfaction Scores

Enter the raw task time or satisfaction data for (e.g. from competing products or different versions) to quickly look for significant differences. The calculator both graphs and provides numerical results as well as how large of a difference was observed (effect size). The calculator comes with a �How to Report� section which makes communicating the results to stakeholders easier.

Compare the Same Users on Different Applications

You can get more information with a smaller sample size by having the same users attempt tasks on different applications. A special statistical test (the Paired t-test) is used to analyze the data and is included in this package. Enter the raw task time for both applications for task times or satisfaction data to quickly look for significant differences. You get graphs, confidence intervals and statistical results. The calculator comes with a "How to Report" section which makes communicating the results to stakeholders easier.

Statistical Tests

1-sample t-test (Corrects for Non-Normal Data)
2-sample t-test (Summary & Raw Data)
1-Proportion Test
2-Proportion Test
Confidence Intervals for a Mean
Confidence Interval for a Proportion
Fisher Exact Test (Web-Enabled Calculator)

What Customers are Saying:

The calculator is quite well done! In addition to using it myself, I use it to teach statistics to graduate students in HCI. It's just much easier for students to learn than having to deal with the complexity of SPSS.

Gavin Lew
Managing Partner, User-Centric

I needed to know how to perform a statistical test in Excel but could not figure it out. This calculator gave me exactly what I was looking for.

Sharon Kaiser

The calculator make it easy to see statistical significance for both large and small sample sizes.

Amber DeRosa
PhillyCHI Local chapter of ACM SIG-CHI

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