When the population is finite and the sampling is done without replacement, so that the events are stochastically dependent, although random, we obtain hypergeometric distribution. Consider an urn with N balls, M of which are white and N-M are red. Suppose that we draw a sample of n balls at random ( without replacement) from the urn, then the probability of getting k white balls out of n, (k <n) is

A discrete random variable x is said to follow the hypergeometric distribution if it assumes only non-negative values and its probability mass function is given by

P(X =k) =h(k;N,M,n) = k =1,2,….,min(n,M).

= 0 otherwise

**To Schedule a Hypergeometric Distribution tutoring session click here
To submit Hypergeometric Distribution assignment click here.**

Basic Subject

Computer Science

- Programming Assignment Help
- Database Help
- Data Structure Assignment Help
- Operating Systems Assignment Help
- Computer Network Assignment Help
- UML Diagram Assignment Help
- IT Assignment Help
- Game Programming
- Computer Science Assignment Help
- Medical Science Assignment Help
- Social Science Assignment Help
- Information Systems

Engineering

- Biochemical and Biotechnology Help
- Chemical Engineering Assignment
- Statistics Assignment Help
- Civil Engineering Assignment Help
- Electrical, Electronics Help
- Mathematics, Computing Assignment Help
- Mechanical and Industrial Engg. Help
- Petroleum Engg. Assignment Help
- Biochemistry Assignment Help
- Cell Biology Assignment Help
- Arts and Architecture Help
- Silverlight Assignment Help