# explain.tstudent: T-Student Distribution Function Explained In LearningRlab: Statistical Learning Functions

 explain.tstudent 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
Universidad de Alcala de Henares

### Examples

```
#data creation
x = 52.9
u = 50
s = 3
n = 10

explain.tstudent(x,u,s,n)

```

LearningRlab documentation built on June 18, 2022, 1:06 a.m.