Difference between revisions of "Manuals/calci/NEGBINOMDIST"
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*<math>r</math> is the number of successes on an individual trial | *<math>r</math> is the number of successes on an individual trial | ||
*<math>p</math> is the probability of a success. | *<math>p</math> is the probability of a success. | ||
+ | **NEGBINOMDIST(), returns the negative binomial distribution. | ||
==Description== | ==Description== | ||
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#If <math>nf<0</math> or <math>ns<1</math> | #If <math>nf<0</math> or <math>ns<1</math> | ||
− | ==ZOS | + | ==ZOS== |
*The syntax is to calculate NEGBINOMDIST in ZOS is <math>NEGBINOMDIST(x,r,p)</math>. | *The syntax is to calculate NEGBINOMDIST in ZOS is <math>NEGBINOMDIST(x,r,p)</math>. | ||
**where <math>x</math> is the number of failures. | **where <math>x</math> is the number of failures. | ||
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==References== | ==References== | ||
[http://en.wikipedia.org/wiki/Logarithm Logarithm] | [http://en.wikipedia.org/wiki/Logarithm Logarithm] | ||
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+ | *[[Z_API_Functions | List of Main Z Functions]] | ||
+ | |||
+ | *[[ Z3 | Z3 home ]] |
Latest revision as of 14:58, 8 August 2018
NEGBINOMDIST(x,r,p)
- is the number of failures.
- is the number of successes on an individual trial
- is the probability of a success.
- NEGBINOMDIST(), returns the negative binomial distribution.
Description
- This function gives the Negative Binomial Distribution.
- Negative Binomial Distribution is the discrete probability distribution with the fixed probability of success.
- It is also called Pascal Distribution.
This is the statistical experiment with the following conditions:
This experiment consists of a sequence of independent trials. Each trial represents only two results(Success or failure) The probability of success is constant from trial to trial The trials are independent; ie, the outcome on one trial does not affect the outcome on other trials. The experiment continues until the successes is obtained, where is a specified positive integer.
- The random variable = the number of failures that precede the success;
- is called a Negative Binomial Random variable because, in contrast to the
binomial random variable, the number of successes is fixed and the number of trials is random.
- Then probability mass function of the negative binomial distribution is
- For example: If a fair coin is tossed repeatedly, what is the probability that at least 10 tosses are required.
to obtain heads 8 times
- This function will give the result as error when:
- Any argument is non-numeric
- If or
- If or
ZOS
- The syntax is to calculate NEGBINOMDIST in ZOS is .
- where is the number of failures.
- is the number of successes on an individual trial
- is the probability of a success.
- For e.g.,NEGBINOMDIST(8..9,5..7,0.5).
Examples
- Find the probability that a man flipping a coin gets the fourth head on the ninth flip.
Here total number of events =9, r= 4(since we define Heads as a success) and x=9-4=5(number of failures)
p=1/2=0.5(Probability of success for any coin flip)
NEGBINOMDIST(5,4,0.5)=0.109375
- A company conducts a geological study that indicates that an exploratory goods well should have a 20% chance of striking goods. What is the probability that the first strike comes on the third well drilled?
Here total number of events=3, r=1,x=3-1=2,and p=0.20 NEGBINOMDIST(2,1,0.20)=0.128
- What is the probability that the fourth strike comes on the eighth well drilled?
Here total number of events=8, r=4, x=8-4=4 and p=0.20 NEGBINOMDIST(4,4,0.20)=0.0229376
Related Videos
See Also
References