explain.tstudent {LearningRlab} | R Documentation |
T-Student Distribution Function Explained
Description
Step by step demonstration of the T-Student distribution calculus.
Usage
explain.tstudent(x,u,s,n)
Arguments
x |
Should be a number |
u |
Should be a number |
s |
Should be a number |
n |
Should be a number |
Details
To calculate the T-Student distribution, the user should give four number (sample mean, population mean, population standard deviation and sample size). The result is a probability distribution that arises from the problem of estimating the mean of a normally distributed population when the sample size is small. We can saw the T-Student distribution formule in the tstudent_ help document.
Value
Numeric result and the process of this calculus explained.
Note
Each variable is a number. Example: x <- 2 | y <- 4
Author(s)
Jose Manuel Gomez Caceres, josemanuel.gomezc@edu.uah.es
Juan Jose Cuadrado, jjcg@uah.es
Universidad de Alcala de Henares
Examples
#data creation
x = 52.9
u = 50
s = 3
n = 10
explain.tstudent(x,u,s,n)