R Critical Value Calculator


Calculating critical values is essential in statistical analysis, particularly when dealing with hypothesis testing. To simplify this process, we’ll create an interactive and user-friendly Critical Value Calculator using HTML and JavaScript. Follow the guide below to understand how it works and implement it seamlessly.

How to Use

  1. Input: Enter the necessary values in the designated input fields.
  2. Calculate: Click the “Calculate” button to initiate the computation.
  3. Result: The critical value will be displayed within the form.


The critical value calculation often depends on the specific statistical test being performed. For example, in a t-test, critical values are derived from the t-distribution. Ensure you’re using the correct formula based on your statistical analysis.

Example Solve

Let’s consider a scenario where you’re conducting a one-sample t-test with a significance level (α) of 0.05 and degrees of freedom (df) of 10. The critical value can be computed using the t-distribution table or statistical software.


  • Significance Level (α): 0.05
  • Degrees of Freedom (df): 10

Formula (t-distribution):

Example Calculation:

Ensure you use the correct statistical function in your chosen programming environment.


Q: What is a critical value?

A: A critical value is a threshold used in hypothesis testing to determine whether to reject the null hypothesis based on a test statistic.

Q: Can I use this calculator for all statistical tests?

A: No, the critical value calculation varies depending on the statistical test. Ensure you’re using the appropriate formula.

Q: How accurate is this calculator?

A: The calculator provides accurate results based on the correct formula and inputs.

Q: Can I trust the critical value calculated here for my statistical analysis?

A: Yes, as long as you input the correct values and use the appropriate formula for your statistical test.


Creating a Critical Value Calculator allows for quick and accurate critical value determination in statistical analysis. Ensure you input the correct values and choose the appropriate formula for your specific test.

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