I’m wondering if there is a way to perform a two-tailed t-test for an estimate, given its standard error and the number of degrees of freedom? The estimate is read from another software. I have been using the t.dist.2t(abs(estimate/SE), df) in Excel, but having it directly in Python would be a huge help….
Just in case anyone is looking for a solution, I have been provided with one by my colleague
import scipy.stats as stats import numpy as np est=0.0044 se=0.0826 df=767 pval = stats.t.sf(np.abs(est/se),df)*2