Difference between revisions of "Manuals/calci/TDIST"

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*Suppose t=1, then this distribution is one-tailed distribution and t=2, then this is two-tailed distribution.  
 
*Suppose t=1, then this distribution is one-tailed distribution and t=2, then this is two-tailed distribution.  
 
*Also t=1, then it is calculated as <math> TDIST=P(X>x) </math>, where <math> X </math> is a random variable that follows the t-distribution.  
 
*Also t=1, then it is calculated as <math> TDIST=P(X>x) </math>, where <math> X </math> is a random variable that follows the t-distribution.  
*And t=2, then it is calculated as <math> TDIST =P(X>x or X<-x)</math>.  
+
*And t=2, then it is calculated as <math> TDIST =P(X>x or X<-x) </math>.  
 
*This function will return the result as error  
 
*This function will return the result as error  
 
       1. Any one of the argument is nonnumeric.  
 
       1. Any one of the argument is nonnumeric.  
 
       2. df<1 and x<0. When we are giving df and t as a decimals, then it is changing in to integers.
 
       2. df<1 and x<0. When we are giving df and t as a decimals, then it is changing in to integers.
 
  
 
==Examples==
 
==Examples==

Revision as of 23:35, 26 January 2014

TDIST(x,df,t),


  • is the numeric value to find the distribution.
  • is the degrees of freedom.
  • is the number of tails.


Description

  • This function gives the value of the t-distribution.
  • It is the continuous probability distributions.
  • The t-distribution is also called students t-distribution.
  • This is the symmetric distribution like the normal distribution.
  • It is used when making inferences about a population mean when the population standard deviation is not known.
  • In is the numeric value to find the value of the distribution.
  • is the integer which is indicating the number of degrees of freedom and is indicating the number of distribution tails.
  • Suppose t=1, then this distribution is one-tailed distribution and t=2, then this is two-tailed distribution.
  • Also t=1, then it is calculated as , where is a random variable that follows the t-distribution.
  • And t=2, then it is calculated as .
  • This function will return the result as error
     1. Any one of the argument is nonnumeric. 
     2. df<1 and x<0. When we are giving df and t as a decimals, then it is changing in to integers.

Examples

  1. TDIST(1.82,55,1) = 0.037101192599
  2. TDIST(1.82,55,2) = 0.074202385199
  3. TDIST(5.9812,75,1)= 3.50350792266e-8
  4. TDIST(5.9812,75,2) = 7.007015845328e-8
  5. TDIST(2.4579,20.4,1) = 0.0122238
  6. TDIST(2.4579,20.4,1.2) = Null


See Also


References