Volume 58 | Number 1 | Year 2018 | Article Id. IJMTT-V58P502 | DOI : https://doi.org/10.14445/22315373/IJMTT-V58P502
Understanding independent and conditional probability is basic for a right utilization of numerous probabilistic and measurable ideas and strategies.This article is also focusing on Baye’s theorem which means the direct application of conditional probability. Hence, the model explains the individuals which evaluatesconditional probability i.e, P(A|B) (the probability of A given that B has happened) by a procedure that takes after standardfrequentistprobability hypothesis yet is liable to irregular commotion.
[1] R. B. Ash, Basic Probability Theory, Dover, 2008
[2] A. N. Kolmogorov, The Theory of Probability, in Mathematics: Its Content, Methods and Meaning, Dover, 1999
[3] P. S. de Laplace, Concerning Probability, in The World of Mathematics, Dover, 2003
[4] P. S. de Laplace, A Philosophical Essay on Probability, in God Created the Integers: The Mathematical Breakthroughs That Changed History , Running Press, 2007
Prof.SunithaJanga, Prof.Soniya.K, "Conditional Probability," International Journal of Mathematics Trends and Technology (IJMTT), vol. 58, no. 1, pp. 11-15, 2018. Crossref, https://doi.org/10.14445/22315373/IJMTT-V58P502