Relationship among Continuous Probability Distributions and Interpolation

Enwere, Kelachi P. and Ogoke, Uchenna P. (2021) Relationship among Continuous Probability Distributions and Interpolation. Asian Journal of Probability and Statistics, 15 (4). pp. 196-210. ISSN 2582-0230

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Abstract

Relationship among Continuous Probability Distributions and Interpolation Kelachi P. Enwere Uchenna P. Ogoke

Aims: The Study seeks to determine the relationship that exists among Continuous Probability Distributions and the use of Interpolation Techniques to estimate unavailable but desired value of a given probability distribution. Study Design: Statistical Probability tables for Normal, Student t, Chi-squared, F and Gamma distributions were used to compare interpolated values with statistical tabulated values. Charts and Tables were used to represent the relationships among the five probability distributions. Methodology: Linear Interpolation Technique was employed to interpolate unavailable but desired values so as to obtain approximate values from the statistical tables. The data were analyzed for interpolation of unavailable but desired values at 95% a-level from the five continuous probability distribution. Results: Interpolated values are as close as possible to the exact values and the difference between the exact value and the interpolated value is not pronounced. The table and chart established showed that relationships do exist among the Normal, Student-t, Chi-squared, F and Gamma distributions. Conclusion: Interpolation techniques can be applied to obtain unavailable but desired information in a data set. Thus, uncertainty found in a data set can be discovered, then analyzed and interpreted to produce desired results. However, understanding of how these probability distributions are related to each other can inform how best these distributions can be used interchangeably by Statisticians and other Researchers who apply statistical methods employed in practical applications.
12 15 2021 196 210 10.9734/ajpas/2021/v15i430374 https://journalajpas.com/index.php/AJPAS/article/view/315 https://www.journalajpas.com/index.php/AJPAS/article/download/30374/56989 https://www.journalajpas.com/index.php/AJPAS/article/download/30374/56989 https://www.journalajpas.com/index.php/AJPAS/article/download/30374/56990

Item Type: Article
Subjects: GO for STM > Mathematical Science
Depositing User: Unnamed user with email support@goforstm.com
Date Deposited: 13 Sep 2023 06:20
Last Modified: 13 Sep 2023 06:20
URI: http://archive.article4submit.com/id/eprint/1430

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