Critical Value Calculator

Critical Value Calculator
Critical Value Calculator
Developer: Enzipe Apps
Category: Education
3.7K installs
Ratings not yet available
83 monthly active users
Revenue not available
Install Trends
Weekly +20
Trending
Monthly +95
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Critical Value Calculator Summary

Critical Value Calculator is a mobile Android app in Education by Enzipe Apps. Released in Jul 2021 (4 years ago). It has about 3.7K+ installs Based on AppGoblin estimates, it reaches roughly 83 monthly active users . Store metadata: updated Sep 17, 2025.

Recent activity: 20 installs this week (95 over 4 weeks) showing above average growth View trends →

Store info: Last updated on Google Play on Sep 17, 2025 .


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App Description

Enables to you to calculate critical value of z and t at one click

Perform hypothesis testing through our efficient critical value calculator.
Critical value calculator, a hands-on tool for statisticians, calculates t-value and z-value with a click. Single t-value calculator and z-value calculator are available on play store yet, they do not suffice the needs of students. However, in this critical score calculator you can calculate both critical values.
Now you can get rid of tiresome practice of looking through hundreds of t- and z-value tables because critical value calculator calculates them in an instant.
How to perform calculations:
Calculate t-value
• Specify the significance level in the given box.
• Select degrees of freedom.
• Calculate t-value
Calculate z-value
• Enter the significance level in the input box.
• calculate p-value
You can reset the critical value calculator by pressing “reset” button.

Basic definitions:
• Critical value: It is the cut-off value of the graph generated by the test static and shows the region where test static does not lie. Critical value depends upon the significance level. T tells whether to accept of discard null-hypothesis.
• Significance level: Significance level or statistical significance determines that the difference in population cannot be only associated with chance.
• Null hypothesis: A hypothesis that describes no difference between two data. And if any difference is seen it appears only by chance. It is abbreviated as (Ho).
• T-value: It is the calculated difference in the graph relative to the data.
• Z-value: It is a cut-off point area under the standard distribution of data.