Critical Value Calculator

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

Critical Value Calculator - Fast Z and T Value Calculation

"Critical Value Calculator" is an efficient Android tool that allows users to calculate critical z and t values with a single click. Designed for statisticians and students, it eliminates the need for lengthy tables and provides instant calculations for both t-values and z-values based on significance levels and degrees of freedom. This app streamlines hypothesis testing by defining key statistical concepts and facilitating quick computations, making it an essential tool for anyone engaged in data analysis.

App stats

Users: 2,812
12
Version: 1.0.3 (Last updated: 2024-07-18)
Creation date: 2021-07-30

Other platforms

Not available on Chrome
Not available on Firefox
Not available on Edge
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App summary

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.

User reviews

You Need to Add Right tail, Left tail and two tail
by Saiam Pranto, 2023-07-03

Ok
by REDEY Ahmed, 2022-04-01

good but no explanation/solution i guess
View all user reviews

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