Difference between revisions of "Exponential Command"
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;Exponential( <Lambda>, <Variable Value> ) | ;Exponential( <Lambda>, <Variable Value> ) | ||
:Calculates the value of cumulative distribution function of exponential distribution at variable value ''v'', i.e. the probability ''P(X ≤ v)'' where ''X'' is a random variable with Exponential distribution with parameter ''lambda''. | :Calculates the value of cumulative distribution function of exponential distribution at variable value ''v'', i.e. the probability ''P(X ≤ v)'' where ''X'' is a random variable with Exponential distribution with parameter ''lambda''. | ||
− | :{{example| 1= | + | :{{example| 1=<code><nowiki>Exponential(2, 1)</nowiki></code> yields ''<math>1 - \frac{1}{e^{2} } </math>'', which is approximately ''0.86''.}} |
Revision as of 10:11, 11 October 2017
- Exponential( <Lambda>, x )
- Creates probability density function (pdf) of exponential distribution with parameter lambda.
- Exponential( <Lambda>, x, <Boolean Cumulative> )
- If Cumulative is true, creates cumulative distribution function (cdf) of exponential distribution, otherwise creates pdf of Exponential distribution.
- Exponential( <Lambda>, <Variable Value> )
- Calculates the value of cumulative distribution function of Exponential distribution at variable value v, i.e. the probability P(X ≤ v) where X is a random variable with Exponential distribution with parameter lambda.
- Note: Returns the probability for a given x-coordinate's value (or area under the Exponential distribution curve to the left of the given x-coordinate).
CAS Syntax
- Exponential( <Lambda>, <Variable Value> )
- Calculates the value of cumulative distribution function of exponential distribution at variable value v, i.e. the probability P(X ≤ v) where X is a random variable with Exponential distribution with parameter lambda.
- Example:
Exponential(2, 1)
yields 1 - \frac{1}{e^{2} } , which is approximately 0.86.