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Perform the Inverse Probability Cumulative Density Analysis on t-Distribution in R Programming – qt() Function
  • Last Updated : 10 Mar, 2021

qt() function in R Language is used to return the inverse probability cumulative density of the Student t-distribution. 
 

Syntax: qt(x, df)
Parameters: 
x: Random variable 
df: Degree of Freedom 
 

Example 1: 
 

Python3




# R Program to perform Inverse
# Cumulative Density Analysis
 
# Calling qt() Function
qt(.95, 10)
qt(.542, 15)

Output: 
 



[1] 1.812461
[1] 0.1072654

Example 2: 
 

Python3




# R Program to perform Inverse
# Cumulative Density Analysis
 
# Creating a vector
x <- seq(.1, .9, by = .1)
 
# Calling qt() Function
y <- qt(x, 15)
 
# Plotting probability distribution graph
plot(x, y, type ="l")

Output: 
 

 

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