Changes

*<math> df </math> is the degrees of freedom.

*<math> df </math> is the degrees of freedom.

*<math> t </math> is the number of tails.

*<math> t </math> is the number of tails.

==Description==

==Description==

*This function gives the value of the t-distribution.  

*This function gives the value of the T-Distribution.  

*It is the continuous probability distributions.  

*It is the continuous probability distributions.  

*The t-distribution is also called students t-distribution.  

*The T-Distribution is also called Students T-Distribution.  

*This is the symmetric distribution like the normal 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.

*It is used when making inferences about a population mean when the population standard deviation is not known.

*In <math> TDIST(x,df,t), x </math> is the numeric value to find the value of the distribution.

*In <math> TDIST(x,df,t)</math>, <math>x </math> is the numeric value to find the value of the distribution.

*<math> df </math> is the integer which is indicating the number of degrees of freedom and <math> t </math> is indicating the number of distribution tails.

*<math> df </math> is the integer which is indicating the number of degrees of freedom and <math> t </math> 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.  

*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 non-numeric.  

       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 <math>df</math> and <math>t</math> as a decimals, then it is changing in to integers.

==Examples==

==Examples==

#TDIST(1.82,55,1) = 0.037101192599

#=TDIST(1.82,55,1) = 0.037101192599

#TDIST(1.82,55,2) = 0.074202385199

#=TDIST(1.82,55,2) = 0.074202385199

#TDIST(5.9812,75,1)= 3.50350792266e-8

#=TDIST(5.9812,75,1)= 3.50350792266e-8

#TDIST(5.9812,75,2) = 7.007015845328e-8

#=TDIST(5.9812,75,2) = 7.007015845328e-8

#TDIST(2.4579,20.4,1) = 0.0122238

#=TDIST(2.4579,20.4,1) = 0.0122238

#TDIST(2.4579,20.4,1.2) = Null

#=TDIST(2.4579,20.4,1.2) = Null

 

 

==See Also==

==See Also==

*[[Manuals/calci/TTEST | TTEST]]

*[[Manuals/calci/TTEST | TTEST]]

*[[Manuals/calci/TINV  | TINV ]]

*[[Manuals/calci/TINV  | TINV ]]

==References==

==References==