Course No:           Act 502

Course Name:      Probability Distribution - 2

Course Description:      

a) Theory of large Samples: Central Limit Theorem. (With proof), Pearson X^2 (with proof), and its application. Standard Errors of estimates. (Mean, Variance, Standard Deviation, Correlation)

b) Asymptotic Distribution concerning order Statistics; Distribution of Sums of Coverage. Distribution of quantiles and its properties.

c) Extreme Value Distributions, type I, II and III

Course Review:

It is the  extension of the probability distribution-I. We have discussed the theory of large samples, which includes Central Limit Theorem, Pearson X² and its application, standard errors of estimates, Asymptotic distribution concerning order statistics which includes the distribution of sums of Coverage, Distribution of quantiles with its characteristics and extreme value distributions of type I, II, III in this course.