Difference between revisions of "Manuals/calci/LOGNORMDIST"
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− | <div style="font-size:30px">'''LOGNORMDIST( | + | <div style="font-size:30px">'''LOGNORMDIST(Number,Mean,StandardDeviation,Accuracy)'''</div><br/> |
− | *<math> | + | *<math>Number</math> is the value. |
− | * | + | *<math>Mean </math> is the mean value of <math>log(x)</math>, |
+ | *<math>StandardDeviation</math> is the standard deviation value of <math>log(x)</math>. | ||
+ | *<math>Accuracy</math> is correct decimal places for the result. | ||
+ | ** LOGNORMDIST(), returns the cumulative lognormal distribution. | ||
+ | |||
==Description== | ==Description== | ||
− | |||
*This function gives the value of the cumulative log normal distribution. | *This function gives the value of the cumulative log normal distribution. | ||
*This distribution is the continuous probability distribution. | *This distribution is the continuous probability distribution. | ||
Line 10: | Line 13: | ||
*Suppose <math>x</math> is Normally Distributed function, then <math> y=ln(x)</math> also Normally Distributed | *Suppose <math>x</math> is Normally Distributed function, then <math> y=ln(x)</math> also Normally Distributed | ||
*<math> z=exp(y)</math> also Normally Distributed. | *<math> z=exp(y)</math> also Normally Distributed. | ||
− | *Let the Normal Distribution function <math>x</math> and its Mean= <math> | + | *Let the Normal Distribution function <math>x</math> and its Mean= <math>\mu</math>, Standard Deviation = <math>\sigma</math> |
− | *Then the lognormal cumulative distribution is calculated by:<math>F(x, | + | *Then the lognormal cumulative distribution is calculated by: |
− | + | <math>F(x,\mu,\sigma)=\frac{1}{2} \left[1+ erf \left (\frac{ln(x)-\mu)}{\sigma \sqrt{2}}\right)\right ]= \varphi\left[\frac{ln(x)-\mu}{\sigma}\right ]</math> | |
− | *And <math> | + | where <math>erf</math> is the error function,. The error function (also called the Gauss error function) is a special function of sigmoid shape which occurs in probability, statistics and partial differential equations. |
+ | *And <math>\phi</math> is the Cumulative Distribution function of the Standard Normal distribution. | ||
*This function will give the result as error when | *This function will give the result as error when | ||
− | + | 1. Any one of the argument is non-numeric. | |
− | + | 2. Suppose <math> Number \le 0 </math> or <math> StandardDeviation \le 0</math> | |
+ | |||
+ | ==ZOS== | ||
+ | *The syntax is to calculate cumulative log normal distribution in ZOS is <math>LOGNORMDIST(Number,Mean,StandardDeviation,Accuracy)</math>. | ||
+ | **<math>Number</math> is the value. | ||
+ | **<math>Mean </math> is the mean value of <math>log(x)</math>. | ||
+ | **<math> StandardDeviation</math> is the standard deviation value of <math>log(x)</math>. | ||
+ | *For e.g.,LOGNORMDIST(10,8.002,4.501) | ||
+ | {{#ev:youtube|rFnzI4pLSuo|280|center|Log Normal Distribution}} | ||
==Examples== | ==Examples== | ||
− | #LOGNORMDIST(2,5.4,2.76)=0.044061652 | + | #=LOGNORMDIST(2,5.4,2.76) = 0.044061652 |
− | #LOGNORMDIST(10,24.05,12.95)=0.046543186 | + | #=LOGNORMDIST(10,24.05,12.95) = 0.046543186 |
− | #LOGNORMDIST(50,87.0036,42.9784)=0.026597569 | + | #=LOGNORMDIST(50,87.0036,42.9784) = 0.026597569 |
− | #LOGNORMDIST(-10,5,2)= | + | #=LOGNORMDIST(-10,5,2) = #N/A (NUMBER GREATER THAN (OR) NOT EQUAL TO 0) |
+ | |||
+ | ==Related Videos== | ||
+ | |||
+ | {{#ev:youtube|9rMpraPPQ2A|280|center|Lognormal Distribution}} | ||
==See Also== | ==See Also== | ||
Line 31: | Line 47: | ||
==References== | ==References== | ||
[http://en.wikipedia.org/wiki/Log-normal_distribution Log-normal distribution] | [http://en.wikipedia.org/wiki/Log-normal_distribution Log-normal distribution] | ||
+ | |||
+ | |||
+ | |||
+ | |||
+ | *[[Z_API_Functions | List of Main Z Functions]] | ||
+ | |||
+ | *[[ Z3 | Z3 home ]] |
Latest revision as of 09:22, 2 June 2020
LOGNORMDIST(Number,Mean,StandardDeviation,Accuracy)
- is the value.
- is the mean value of ,
- is the standard deviation value of .
- is correct decimal places for the result.
- LOGNORMDIST(), returns the cumulative lognormal distribution.
Description
- This function gives the value of the cumulative log normal distribution.
- This distribution is the continuous probability distribution.
- Lognomal distribution is also called Galton's distribution.
- A random variable which is log-normally distributed takes only positive real values.
- Suppose is Normally Distributed function, then also Normally Distributed
- also Normally Distributed.
- Let the Normal Distribution function and its Mean= , Standard Deviation =
- Then the lognormal cumulative distribution is calculated by:
where is the error function,. The error function (also called the Gauss error function) is a special function of sigmoid shape which occurs in probability, statistics and partial differential equations.
- And is the Cumulative Distribution function of the Standard Normal distribution.
- This function will give the result as error when
1. Any one of the argument is non-numeric. 2. Suppose or
ZOS
- The syntax is to calculate cumulative log normal distribution in ZOS is .
- is the value.
- is the mean value of .
- is the standard deviation value of .
- For e.g.,LOGNORMDIST(10,8.002,4.501)
Examples
- =LOGNORMDIST(2,5.4,2.76) = 0.044061652
- =LOGNORMDIST(10,24.05,12.95) = 0.046543186
- =LOGNORMDIST(50,87.0036,42.9784) = 0.026597569
- =LOGNORMDIST(-10,5,2) = #N/A (NUMBER GREATER THAN (OR) NOT EQUAL TO 0)
Related Videos
See Also
References