Measuring Usability
Quantitative Usability, Statistics & Six Sigma by Jeff Sauro

One Sample Proportion Calculator

Jeff Sauro • May 30, 2008

Use this calculator to generate both a one-sample confidence interval and to test against a critera or benchmark.



# PassedTotal Tested Test Proportion

About Jeff Sauro

Jeff Sauro is the founding principal of Measuring Usability LLC, a company providing statistics and usability consulting to Fortune 1000 companies.
He is the author of over 20 journal articles and 4 books on statistics and the user-experience.
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Posted Comments

There are 11 Comments

November 24, 2013 | Rocky Shwedel wrote:

In response to:

September 13, 2013 | Caplina wrote:
I don't understand the result when the comparison is "is not equal to". Can anybody explain? Thanks!

The 'not equal' option is equivalent to a non-directional hypothesis. Martians and humans are equally likely to star=gaze. The researcher is not making any prediction about which group is most likely to engage in star-gazing.

If you enter 9 for # passed and 1 - for # tested and calculate the result, you will get the same p-value as if you entered 1 for # passed and 10 for # tested. 


September 13, 2013 | Caplina wrote:

I don't understand the result when the comparison is "is not equal to". Can anybody explain? Thanks! 


July 1, 2013 | Chris LaChance wrote:

I was using 70% and 70 for test proportion, when I should have been using .7 It seems to be working fine when I do this. 


July 1, 2013 | Chris LaChance wrote:

When trying to submit a formula to it this morning, it seemed to return an error page instead of a result. 


February 28, 2013 | anonymous wrote:

I needed between and it's not an option 


January 8, 2010 | Bert wrote:

This page could use some explanation. 


June 11, 2008 | John Romadka wrote:

Sorry, I meant to "ask" if you could state results in a little more client friendly way like: "You can report that: Based on your target goal of X%, we can be Y% certain that the completion rate (of the that user group or population) is >Z%. 


June 11, 2008 | John Romadka wrote:

"You can report that: Based on your target goal of X%, we can be Y% certain that the completion rate (of the that user group or population) is >Z%. 


June 11, 2008 | JohnRomadka wrote:

I didn't initially get where/what (in the results text) the observed proportion= "x" was. Meaning, if 5 of 10, it would have said "0.5". Could it also say in parens (50%)? 


June 11, 2008 | John Romadka wrote:

I'm not sure what the "Is Greater than" is for, or if/when I should change it. 


June 11, 2008 | John Romadka wrote:

Is "Test Proportion" the same thing as "Acceptable Minimum Completion Rate". If so, that might make more sense (to non-statistically minded folks). 


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Quantifying the User Experience: Practical Statistics for User ResearchQuantifying the User Experience: Practical Statistics for User Research

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A Practical Guide to the System Usability ScaleA Practical Guide to the System Usability Scale

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A Practical Guide to Measuring UsabilityA Practical Guide to Measuring Usability

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