TESTING THE GOODNESS OF FIT OF COMMONLY USED CONTINUOUS STATISTICAL DISTRIBUTIONS TO SOME NICOTINE DATA
By
Mohammad Shakil1, Tassaddaq Hussain2, Rakhshinda Jabeen3, Aneeqa Khadim4, Jai Narain Singh5, and Mohammad Ahsanullah6
1Department of Mathematics, Miami Dade College, Hialeah, FL, USA - 33012
2,4Department of Statistics, Mirpur University of Science and Technology, Mirpur, Pakistan - 10250
3Department of Medicine, Dow University of Health Sciences, Karachi, Pakistan - 74200
5Department of Mathematics & Computer Science, Barry University, Miami Shores, Fl, USA - 33161
6Professor Emeritus, Rider University, Lawrenceville, NJ, USA - 08648
Email: mshakil@mdc.edu, rakhshinda.jabeen@duhs.edu.pk, tafkho2000@gmail.com, Aneeqa89@gmail.com, jsingh@mail.barry.edu, ahsan@rider.edu (Received: August 08, 2025; In format: September 02, 2025; Revised: October 04, 2025; Accepted: October 07, 2025)
DOI: https://doi.org/10.58250/jnanabha.2025.55210
Abstract
Nicotine consumption has profound effects on human health, leading to both immediate and long-term consequences. Understanding the statistical behavior of nicotine-related data is essential for analyzing its impact on public health. This research investigates the fitting of various continuous statistical distributions to nicotine data, with an aim to model the consumption patterns and their correlation with health outcomes. The study applies a range of distribution fitting techniques to a dataset containing information on nicotine intake, identifying which distribution best characterizes the data. The findings offer insights into the distribution of nicotine consumption and its potential implications for both public health policy and clinical interventions. The results highlight the importance of accurate modeling in understanding the epidemiology of nicotine use and its associated risks.
2020 Mathematical Sciences Classification: 65F359, 15A12, 15A04, 62J05
Keywords and Phrases: Goodness-of-fit tests, Mental Health, Nicotine, Smoking, Statistical Distributions.