# Pi from Probability Approach

Keywords:
Combination, De Moivre-Laplace theorem, Mode, Pi, Probability density function, Probability mass function

### Abstract

In this paper I introduced a new Probability mass function (Pmf) that is named as Pavan’s Pmf then used first and second raw moments of that distribution and De Moivre-Laplace theorem for large **n** later equated probability functions of binomial and normal distribution at model value to derive the formula for Pi.

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### References

1. Athanasios Papoulis and S Unnikrishna Pillai. Probability, random variables, and stochastic processes. Tata Mc Graw-Hill Education Publishers, 4th edition, pages 7.12-7.13, ISBN 81-7014-791-3, 2002.

2. Gupta. SC and Kapoor VK. Fundamentals of mathematical statistics: A modern approach. Sultan Chand and Sons publishers India, 10th edition, pages 105, ISBN 0-07-112256-7,2000.

2. Gupta. SC and Kapoor VK. Fundamentals of mathematical statistics: A modern approach. Sultan Chand and Sons publishers India, 10th edition, pages 105, ISBN 0-07-112256-7,2000.

Published

2020-10-01

How to Cite

*Journal of Progressive Research in Mathematics*,

*16*(4), 3195-3198. Retrieved from http://www.scitecresearch.com/journals/index.php/jprm/article/view/1891

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