Difference between revisions of "Manuals/calci/BINOMIALDISTRIBUTED"
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− | <div style="font-size:30px">'''BINOMIALDISTRIBUTED (Numbers,Probability)'''</div><br/> | + | <div style="font-size:30px">'''BINOMIALDISTRIBUTED (Numbers,Probability,Trials)'''</div><br/> |
*<math>Numbers</math> is the number of variables. | *<math>Numbers</math> is the number of variables. | ||
*<math>Probability</math> is the value from 0 to 1. | *<math>Probability</math> is the value from 0 to 1. | ||
+ | *<math>Trials</math> is the any positive real number. | ||
==Description== | ==Description== | ||
*This function gives the value of the Binomial distribution. | *This function gives the value of the Binomial distribution. | ||
− | *In <math>BINOMIALDISTRIBUTED (Numbers,Probability)</math>, <math>Numbers</math> is the number of the variables and <math>Probability</math> is the probability value which varies from 0 to 1. | + | *In <math>BINOMIALDISTRIBUTED (Numbers,Probability,Trials)</math>, <math>Numbers</math> is the number of the variables and <math>Probability</math> is the probability value which varies from 0 to 1.<math> Trial </math> is any positive real number. |
*This gives the discrete probability distribution. | *This gives the discrete probability distribution. | ||
*The probability of getting exactly k successes in n trials is given by the Probability Mass Function: | *The probability of getting exactly k successes in n trials is given by the Probability Mass Function: | ||
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==Examples== | ==Examples== | ||
− | #BINOMIALDISTRIBUTED(10,0.4) = 36 42 45 41 41 38 37 36 32 41 | + | # BINOMIALDISTRIBUTED(10,0.4) = 36 42 45 41 41 38 37 36 32 41 |
+ | # BINOMIALDISTRIBUTED(5,0.3,76) = 23 29 20 19 23 | ||
+ | |||
==See Also== | ==See Also== |
Revision as of 16:39, 12 June 2018
BINOMIALDISTRIBUTED (Numbers,Probability,Trials)
- is the number of variables.
- is the value from 0 to 1.
- is the any positive real number.
Description
- This function gives the value of the Binomial distribution.
- In , is the number of the variables and is the probability value which varies from 0 to 1. is any positive real number.
- This gives the discrete probability distribution.
- The probability of getting exactly k successes in n trials is given by the Probability Mass Function:
for k=0,1,2,3...n where is the COMBIN(n,k) i.e.
- The Cumulative Binomial Distribution is:.
Examples
- BINOMIALDISTRIBUTED(10,0.4) = 36 42 45 41 41 38 37 36 32 41
- BINOMIALDISTRIBUTED(5,0.3,76) = 23 29 20 19 23
See Also
References