Difference between revisions of "Manuals/calci/TDIST"
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*<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. | ||
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==Description== | ==Description== | ||
| − | *This function gives the value of the | + | *This function gives the value of the T-Distribution. |
*It is the continuous probability distributions. | *It is the continuous probability distributions. | ||
| − | *The | + | *The T-Distribution is also called Students T-Distribution. |
| − | *This is the symmetric distribution like the | + | *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 | + | *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 | + | *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 | + | 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 |
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==See Also== | ==See Also== | ||
*[[Manuals/calci/TTEST | TTEST]] | *[[Manuals/calci/TTEST | TTEST]] | ||
*[[Manuals/calci/TINV | TINV ]] | *[[Manuals/calci/TINV | TINV ]] | ||
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==References== | ==References== | ||
Revision as of 06:04, 30 January 2014
TDIST(x,df,t),
- is the numeric value to find the distribution.
- is the degrees of freedom.
- is the number of tails.
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
, 
, where 
is a random variable that follows the T-Distribution.
. 1. Any one of the argument is non-numeric.
2. df<1 and x<0. When we are giving and as a decimals, then it is changing in to integers.
Examples
- =TDIST(1.82,55,1) = 0.037101192599
- =TDIST(1.82,55,2) = 0.074202385199
- =TDIST(5.9812,75,1)= 3.50350792266e-8
- =TDIST(5.9812,75,2) = 7.007015845328e-8
- =TDIST(2.4579,20.4,1) = 0.0122238
- =TDIST(2.4579,20.4,1.2) = Null