Dear Professor,

I'm struggled with what is the difference between r-to-t and r-to-z statistical significance test for the r coefficient.
You've covered the r-to-z way where we transform r to z using Fisher's transformation and test it.
But, on Wikipedia and many youtube video, they use a r-to-t test (you can find https://en.wikipedia.org/wiki/Pearson_correlation_coefficient - Testing using Student's t-distribution)
Could you explain the differences between the two and when one is better than the other?