User talk:2600:1012:B1BD:9E16:70B9:19CB:81D:7B3B

Possible Errata
I am writing because I think the following in the Definition should be checked.

"The probability density function is symmetric, and its overall shape resembles the bell shape of a normally distributed variable with mean 0 and variance 1, except that it is a bit lower and wider. As the number of degrees of freedom grows, the t-distribution approaches the normal distribution with mean 0 and variance 1. For this reason ν {\displaystyle {\nu }} {\nu } is also known as the normality parameter.[14]"

Specifically, I believe the normal distribution referred to above is the Standard Normal Distribution. (The Standard Normal Distribution is a special case of the normal distribution.) The Standard Normal Distribution has a Mean of 0 and a STANDARD DEVIATION(σ) of 1. (The variance is also a measure of central tendency, but is the standard deviation squared (Variance = σ2)).