Difference between revisions of "Manuals/calci/HYPGEOMDIST"

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==Description==
 
==Description==
*This function gives the result of Hypergeometric distribution.
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*This function gives the result of Hypergeometric Distribution.
 
*This distribution  is a discrete probability distribution which is contrast to the binomial distribution.  
 
*This distribution  is a discrete probability distribution which is contrast to the binomial distribution.  
*A hypergeometric random variable is the number of successes that result from a hypergeometric experiment.  
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*A Hypergeometric random variable is the number of successes that result from a Hypergeometric experiment.  
*The probability distribution of a hypergeometric random variable is called a hypergeometric distribution.
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*The probability distribution of a Hypergeometric random variable is called a Hypergeometric Distribution.
*In  HYPGEOMDIST(n1,n2,n3,n4) where n1 is thenumber of items in the Sample  that are classified as successes.  
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*In  HYPGEOMDIST(n1,n2,n3,n4) where n1 is the number of items in the Sample  that are classified as successes.  
*n2 is the total number of items in the sample.
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*<math>n2</math> is the total number of items in the sample.
*n3 is thenumber of items in the population  that are classified as successes and n4 is the total number of items in the sample.  
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*<math>n3</math> is the number of items in the population  that are classified as successes and <math>n4</math> is the total number of items in the sample.  
 
*The following conditions are applied to the Hypergeometric distribution:  
 
*The following conditions are applied to the Hypergeometric distribution:  
#This distribution is applies to sampling without replacement from a finite population whose elements can be classified into two categories like success or Failure.
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1.This distribution is applies to sampling without replacement from a finite population whose elements can be classified into two categories like Success or Failure.
#The population or set to be sampled consists of N individuals, objects,or elements  
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2.The population or set to be sampled consists of N individuals, objects,or elements  
#Each individual can be  success (S) or a failure (F),
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3.Each individual can be  success (S) or a failure (F),
and there areM successes in the population.
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and there are M successes in the population.
#A sample of n individuals is selected without replacement in such a way that each subset of size n is equally likely to be chosen. The Hyper geometric probability distribution is:  
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4.A sample of n individuals is selected without replacement in such a way that each subset of size n is equally likely to be chosen. The Hyper geometric probability distribution is:  
P(X=x)=h(x;n,M,N)=(M          (N-M
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<math>\frac{\binom{m}{x}  \binom{N-M}{n-x}}{\binom{m}{x}}</math>
                                    x)          n-x)        /(N   
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  for <math>x</math> is an integer satisfying  <math>max(0, n-N+M)<=x<=min(n,M)</math>. where <math>x</math> is sample's success.
                                                                      n) for x is an integer satisfying  max(0, n-N+M)<=x<=min(n,M). where x is sample's success.
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*<math>n</math> is the sample's size.
*n is the sample's size.
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*<math>M</math> is population's success and <math>N</math> is the population size.  
*M is population's success and N is the population size.  
 
 
*Here we can give any positive real numbers.  
 
*Here we can give any positive real numbers.  
 
*Suppose we are assigning any decimals numbers it will change in to Integers.  
 
*Suppose we are assigning any decimals numbers it will change in to Integers.  
 
*This function will give result as error when  
 
*This function will give result as error when  
#Any one of the argument is nonnumeric.
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1.Any one of the argument is non-numeric.
#n1<0 or n1 is greater than the smaller value of n2 or n3.
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2.<math>n1 < 0</math> or n1 is greater than the smaller value of n2 or n3.
#n1 is less than the bigger of 0 or(n2-n4+n3)
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3.<math>n1</math> is less than the bigger of 0 or(n2-n4+n3)
#n2<=0 or n2>n4
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4.<math>n2 \le 0</math> or <math>n2>n4</math>
#n3<=0 or  n3>n4 or n4<=0"
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5.<math>n3 \le 0</math> or  <math>n3>n4</math> or <math>n4 \le 0</math>
  
 
==Examples==
 
==Examples==

Revision as of 06:43, 10 December 2013

HYPGEOMDIST(n1,n2,n3,n4)


  • is the sample's success.
  • is the sample's size.
  • is population's success.
  • is the population size.

Description

  • This function gives the result of Hypergeometric Distribution.
  • This distribution is a discrete probability distribution which is contrast to the binomial distribution.
  • A Hypergeometric random variable is the number of successes that result from a Hypergeometric experiment.
  • The probability distribution of a Hypergeometric random variable is called a Hypergeometric Distribution.
  • In HYPGEOMDIST(n1,n2,n3,n4) where n1 is the number of items in the Sample that are classified as successes.
  • is the total number of items in the sample.
  • is the number of items in the population that are classified as successes and is the total number of items in the sample.
  • The following conditions are applied to the Hypergeometric distribution:
1.This distribution is applies to sampling without replacement from a finite population whose elements can be classified into two categories like Success or Failure.
2.The population or set to be sampled consists of N individuals, objects,or elements 
3.Each individual can be  success (S) or a failure (F),

and there are M successes in the population.

4.A sample of n individuals is selected without replacement in such a way that each subset of size n is equally likely to be chosen. The Hyper geometric probability distribution is: 

for  is an integer satisfying   . where  is sample's success.
  • is the sample's size.
  • is population's success and is the population size.
  • Here we can give any positive real numbers.
  • Suppose we are assigning any decimals numbers it will change in to Integers.
  • This function will give result as error when
1.Any one of the argument is non-numeric.
2. or n1 is greater than the smaller value of n2 or n3.
3. is less than the bigger of 0 or(n2-n4+n3)
4. or 
5. or   or 

Examples

Draw 6 cards from a deck without replacement. What is the probability of getting two hearts? Here M = 13 number of hearts N = 52 total number of cards so N-M= 52-13= 39 and x=2,n=6 so n-x=6-2=4 HYPGEOMDIST(2,6,13,52)=0.315129882 2.42 balls are numbered 1 - 42. You select six numbers between 1 and 42. What is the probability that they contain (i)match 3? (ii) match 4? (i)Here M= 6,N=42,x=3and n=6 HYPGEOMDIST(3,6,6,42)=0.02722185 (ii)Here M= 6,N=42,x=4and n=6 HYPGEOMDIST(4,6,6,42)=0.001801446 3.

See Also

References

Correlation