Calculating T Critical Value using scipy.stats.t.ppf() function

Determine the T critical value in Python, we can use the scipy.stats.t.ppf() function.

Syntax:

scipy.stats.t.ppf(q, df)

Parameters:

• q: The critical level to use.
• df: The degrees of freedom.

To perform a T-test, we will get a test statistic as a result and determine whether the T-test results are statistically significant, we can compare the test statistic with the T critical value, if the absolute value of the test statistic is greater than the T critical value, then the test results are statistically significant.

T critical value can be found by using a T-distribution table or using statistical software. To find the T critical value, you need to specify the values:

• A critical level (q) (common values are 0.01, 0.05, and 0.10)
• The degrees of freedom (df)

Using these two values, you can find the T critical value to be compared with the test statistic.