International Journal of Statistics and Applied Mathematics
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2022, Vol. 7, Issue 4, Part A

Difference between confidence interval and interval of convergence: Poisson distribution example


Author(s): Mohammad Ibrahim

Abstract: The relationship between Mathematics and Statistics is Overlapping but mathematics is the broad domain of study, encompassing primarly all quantitative disciplines whereas Statistics is a scientific discipline, specificaly associated with the Applied Mathematics. Statistics is a strictly bounded discipline limited to physical data and its interpretation, hence it has limited scope. Mathematics, however also deals with the abstract concepts which can be metaphysical in nature. This paper tries to explore the differences between Intervals of confidence and convergence in statistics field, by take Poisson distribution case study to understand the Conceptions.

Pages: 75-76 | Views: 414 | Downloads: 24

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International Journal of Statistics and Applied Mathematics
How to cite this article:
Mohammad Ibrahim. Difference between confidence interval and interval of convergence: Poisson distribution example. Int J Stat Appl Math 2022;7(4):75-76.

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