Difference between revisions of "Manuals/calci/HYPGEOMDIST"
Jump to navigation
Jump to search
Line 1: | Line 1: | ||
− | <div style="font-size:30px">'''HYPGEOMDIST( | + | <div style="font-size:30px">'''HYPGEOMDIST(samples,numbersample,populations,numberpopulation)'''</div><br/> sample_s,number |
− | *<math> | + | *<math>samples</math> is the sample's success. |
− | *<math> | + | *<math>numbersample</math> is the sample's size. |
− | *<math> | + | *<math>populations</math> is population's success. |
− | *<math> | + | *<math>numberpopulation</math> is the population size. |
==Description== | ==Description== | ||
Line 10: | Line 10: | ||
*A Hypergeometric random variable is the number of successes that result from a Hypergeometric experiment. | *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. | *The probability distribution of a Hypergeometric random variable is called a Hypergeometric Distribution. | ||
− | *In HYPGEOMDIST( | + | *In HYPGEOMDIST(samples,numbersample,populations,numberpopulation) where samples is the number of items in the Sample that are classified as successes. |
− | *<math> | + | *<math>numbersample</math> is the total number of items in the sample. |
− | *<math> | + | *<math>populations</math> is the number of items in the population that are classified as successes and <math>numberpopulation</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: | ||
1.This distribution is applies to sampling without replacement from a finite population whose elements can be | 1.This distribution is applies to sampling without replacement from a finite population whose elements can be | ||
Line 29: | Line 29: | ||
*This function will give result as error when | *This function will give result as error when | ||
1.Any one of the argument is non-numeric. | 1.Any one of the argument is non-numeric. | ||
− | 2.<math> | + | 2.<math>samples < 0</math> or samples is greater than the smaller value of numbersample or populations. |
− | 3.<math> | + | 3.<math>samples</math> is less than the bigger of 0 or(numbersample-numberpopulation+populations) |
− | 4.<math> | + | 4.<math>numbersample \le 0</math> or <math>numbersample>numberpopulation</math> |
− | 5.<math> | + | 5.<math>populations \le 0</math> or <math>populations>numberpopulation</math> or <math>numberpopulation \le 0</math> |
+ | |||
+ | ==ZOS Section== | ||
+ | *The syntax is to calculate HYPGEOMDIST in ZOS is <math>HYPGEOMDIST(samples,numbersample,populations,numberpopulation)</math> | ||
+ | **<math>samples</math> is the sample's success. | ||
+ | **<math>numbersample</math> is the sample's size. | ||
+ | **<math>populations</math> is population's success. | ||
+ | **<math>numberpopulation</math> is the population size. | ||
+ | *For e.g.,HYPGEOMDIST(2..3,6..7,9..10,20) | ||
==Examples== | ==Examples== |
Revision as of 03:12, 18 June 2014
HYPGEOMDIST(samples,numbersample,populations,numberpopulation)
sample_s,number
- 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(samples,numbersample,populations,numberpopulation) where samples 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 individuals is selected without replacement in such a way that each subset of size 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 samples is greater than the smaller value of numbersample or populations. 3. is less than the bigger of 0 or(numbersample-numberpopulation+populations) 4. or 5. or or
ZOS Section
- The syntax is to calculate HYPGEOMDIST in ZOS is
- is the sample's success.
- is the sample's size.
- is population's success.
- is the population size.
- For e.g.,HYPGEOMDIST(2..3,6..7,9..10,20)
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
- 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